Abteilung Umweltsozialwissenschaften

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array(10 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=25009, pid=124)
      originalId => protected25009 (integer)
      authors => protected'Aubert, A. H.; McConville, J.; Schmid, S.; Lienert,&nbsp
         ;J.' (79 chars)
      title => protected'Gamifying and evaluating problem structuring: a card game workshop for gener
         ating decision objectives' (101 chars)
      journal => protected'EURO Journal on Decision Processes' (34 chars)
      year => protected2022 (integer)
      volume => protected10 (integer)
      issue => protected'' (0 chars)
      startpage => protected'100021 (13 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'gamification; value-focused thinking; wastewater management; behavioural ope
         rational research; multi-criteria decision analysis (MCDA)' (134 chars)
      description => protected'Serious games, gamification, or game-based interventions are increasingly us
         ed as tools to aid participatory decision-making processes, but their evalua
         tion is often not very rigorous. Therefore, it is still unclear whether game
         -based interventions are really beneficial. We focused on the following over
         arching question: how effective are game-based interventions specifically de
         signed to support decision-making processes. We used an illustrative case to
          reflect on this question. Using a published framework proposing that design
          processes of game-based interventions and their evaluation are intertwined,
          we designed simultaneously (1) a game-based intervention, specifically a ca
         rd game and a workshop structure in which this card game is to be used, and 
         (2) its evaluation procedure, formulating evaluation questions and proposing
          measure instruments based on the literature. We pre-tested the evaluation p
         rocedure in a small pilot study with 10 students. We illustrate the use of t
         he design framework for an intervention to generate objectives in a decision
         -making process about sustainable wastewater management. Through our illustr
         ative case, we identify future research opportunities about designing game-b
         ased interventions and evaluating their effectiveness. We found that it is p
         ossible to address the dual challenge of game-based interventions for partic
         ipatory decision-making processes: (1) designing an informative and engagin
         g game-based intervention without telling participants what to think and (2)
          designing a tailored evaluation procedure. Designing the game-based interv
         ention and its evaluation simultaneously is valuable, because both are stron
         gly intertwined. However, conducting the evaluation is demanding and require
         s the collaborative efforts of scientists, including across disciplinary bou
         ndaries. For instance, the data collection effort could be distributed among
          different research groups to increase sample size. This would allow includi
         ng control treatment(s) ...' (2151 chars)
      serialnumber => protected'2193-9438' (9 chars)
      doi => protected'10.1016/j.ejdp.2022.100021' (26 chars)
      uid => protected25009 (integer)
      _localizedUid => protected25009 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected25009 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=19038, pid=124)
      originalId => protected19038 (integer)
      authors => protected'Haag, F.; Zürcher, S.; Lienert, J.' (50 chars)
      title => protected'Enhancing the elicitation of diverse decision objectives for public planning' (76 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2019 (integer)
      volume => protected279 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'912' (3 chars)
      otherpage => protected'928' (3 chars)
      categories => protected'behavioural OR; decision analysis; online elicitation; urban water managemen
         t; environmental decision' (101 chars)
      description => protected'Identifying objectives is essential for decision making, but individuals hav
         e difficulties stating their important objectives. In public and environment
         al decisions, the diverse views of stakeholders should be included, but elic
         iting a broad set of objectives is challenging. We (1) study the effectivene
         ss of individual brainstorming for eliciting objectives in a real-world sett
         ing; (2) test three interventions to support individuals in generating objec
         tives; (3) investigate which and how many stakeholders are necessary to gene
         rate a comprehensive set of objectives; and (4) develop a feasible elicitati
         on procedure for practice. In an experimental test, 71 stakeholders particip
         ated in five decisions about regional wastewater infrastructure planning in 
         Switzerland. Three interventions were tested with an online survey procedure
         : (i) providing category cues, (ii) a perspective-taking task, and (iii) pro
         viding a predefined master list of objectives. In simple brainstorming, part
         icipants stated few objectives (<em>M</em> = 3.3) associated with 2.9 di
         fferent categories on average. Participants consistently missed objectives t
         hey later considered important. Providing a master list was the only interve
         ntion that substantially increased the number and breadth of objectives (<em
         >M</em> = 12 objectives in <em>M</em> = 5.3 categories). With the he
         lp of our survey, participants generated between 30 and 38 distinct objectiv
         es for each decision case. Between five and nine participants were sufficien
         t to generate these; more participants did not contribute new objectives. Mo
         st decision makers need help generating their objectives; combining simple b
         rainstorming with a master list is a straightforward improvement that does n
         ot require a facilitator. An online process is promising for involving a lar
         ge group of stakeholders.' (1849 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2019.06.002' (26 chars)
      uid => protected19038 (integer)
      _localizedUid => protected19038 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected19038 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=18693, pid=124)
      originalId => protected18693 (integer)
      authors => protected'Marttunen,&nbsp;M.; Haag,&nbsp;F.; Belton,&nbsp;V.; Mustajoki,&nbsp;J.; Lien
         ert,&nbsp;J.' (88 chars)
      title => protected'Methods to inform the development of concise objectives hierarchies in multi
         -criteria decision analysis' (103 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2019 (integer)
      volume => protected277 (integer)
      issue => protected'2' (1 chars)
      startpage => protected'604' (3 chars)
      otherpage => protected'620' (3 chars)
      categories => protected'problem structuring; multiple criteria analysis; OR in environment; behaviou
         ral OR' (82 chars)
      description => protected'Building a well-structured objectives hierarchy is central to multi-criteria
          decision analysis (MCDA). However, in the absence of a systematic methodolo
         gy to support the process, this task has been described as "more art than sc
         ience". Objectives hierarchies often tend to become large and constraining t
         he size of a hierarchy can be challenging. This paper proposes and illustrat
         es the use of a set of methods to support the simplification of the hierarch
         ies in contexts that are "data rich" and characterised by many objectives. T
         he aim of using the proposed approach is to support decision analysts in dev
         eloping an appropriately concise decision model for the further interactions
          with the stakeholders. Using data from two completed environmental cases we
          show retrospectively how qualitative (means-ends networks), semi-quantitati
         ve (relevancy analysis) and quantitative (correlation analysis, principal co
         mponent analysis, local sensitivity analysis of weights) methods, used alone
          or in combination, can inform hierarchy development. We evaluate the potent
         ial benefits and challenges of each method and discuss the advantages and di
         sadvantages of the simplification of an objectives hierarchy. Questionnaire-
         based relevancy analysis can be a useful method to identify and communicate 
         important objectives in the early phases of an MCDA process with stakeholder
         s, while correlation analysis can help to identify overlapping objectives, p
         articularly in cases having many objectives and alternatives. It is intended
          that the methods support a facilitator in developing a clear understanding 
         of the problem and also prompt deeper thinking about and discussion of the a
         ppropriate structure and content of an objectives hierarchy with the stakeho
         lders involved.' (1763 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2019.02.039' (26 chars)
      uid => protected18693 (integer)
      _localizedUid => protected18693 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected18693 (integer)modified
      pid => protected124 (integer)
   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=18410, pid=124)
      originalId => protected18410 (integer)
      authors => protected'Marttunen,&nbsp;M.; Weber,&nbsp;C.; Åberg,&nbsp;U.; Lienert,&nbsp;J.' (69 chars)
      title => protected'Identifying relevant objectives in environmental management decisions: an ap
         plication to a national monitoring program for river restoration' (140 chars)
      journal => protected'Ecological Indicators' (21 chars)
      year => protected2019 (integer)
      volume => protected101 (integer)
      issue => protected'' (0 chars)
      startpage => protected'851' (3 chars)
      otherpage => protected'866' (3 chars)
      categories => protected'environmental management; river restoration; monitoring; objectives; indicat
         ors; Multi-Criteria Decision Analysis (MCDA)' (120 chars)
      description => protected'Environmental monitoring covers many different management domains. They rang
         e from biodiversity conservation to water protection, natural hazard prevent
         ion, impact assessment, resource use, or environmental restoration. The need
          for clear objectives has long been emphasized in the management literature,
          but has often received only little attention in monitoring design. This is 
         partly due to the lack of systematic approaches for setting objectives. In t
         his paper, we present a formal approach based on Multi-Criteria Decision Ana
         lysis (MCDA), namely relevancy analysis, to prioritize management objectives
         . We demonstrate its use for a river restoration monitoring program in Switz
         erland comprising 35 physical and biological objectives. The relevancy of an
          objective is based on two main components, the general importance of the ob
         jective, and the problemspecific impact range. The general importance of an 
         objective is used to identify the most important management objectives from 
         a hierarchy within the national program (i.e. objectives to be monitored). T
         he impact range is used to understand which management objectives are more i
         mportant to monitor for different river restoration measures (i.e. sub-selec
         tion of the objectives specifically for the restoration measure). The genera
         l importance of a management objective was determined based on the frequency
          an objective is mentioned in selected policy documents, and the legislative
          power and temporal persistency of each document. The impact ranges were ide
         ntified from a questionnaire involving 15 Swiss river restoration profession
         als. Hereby, we assumed that the impact range increases as the anticipated i
         mpact of the restoration measure on a specific management objective increase
         s, and as the uncertainty to anticipate this impact increases. For simplicit
         y, we applied the approach only to one restoration measure, namely river wid
         ening. Six management objectives scored high in relevancy in terms of both i
         mpact range and general ...' (2826 chars)
      serialnumber => protected'1470-160X' (9 chars)
      doi => protected'10.1016/j.ecolind.2018.11.042' (29 chars)
      uid => protected18410 (integer)
      _localizedUid => protected18410 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected18410 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=17429, pid=124)
      originalId => protected17429 (integer)
      authors => protected'Harris-Lovett,&nbsp;S.; Lienert,&nbsp;J.; Sedlak,&nbsp;D.&nbsp;L.' (65 chars)
      title => protected'Towards a new paradigm of urban water infrastructure: identifying goals and 
         strategies to support multi-benefit municipal wastewater treatment' (142 chars)
      journal => protected'Water' (5 chars)
      year => protected2018 (integer)
      volume => protected10 (integer)
      issue => protected'9' (1 chars)
      startpage => protected'1127 (22 pp.)' (13 chars)
      otherpage => protected'' (0 chars)
      categories => protected'stakeholder analysis; San Francisco Bay; nutrient management; regional plann
         ing; decision-making; integrated water resources management' (135 chars)
      description => protected'Over the past decade, water professionals have begun to focus on a new parad
         igm for urban water systems, which entails the recovery of resources from wa
         stewater, the integration of engineered and natural systems, and coordinatio
         n among agencies managing different facets of water systems. In the San Fran
         cisco Bay Area, planning for nutrient management serves as an exemplary mode
         l of this transition. We employed a variety of methodological approaches inc
         luding stakeholder analysis, multi-criteria decision-making weight elicitati
         on, and document analysis to understand and support decision-making in this 
         context. Based on interviews with 32 stakeholders, we delineate goals that a
         re considered to be important for achieving the new paradigm and we highligh
         t management strategies that can help reach these goals. We identify and ana
         lyze the social, institutional, and technical impediments to planning and im
         plementing multi-benefit wastewater infrastructure projects and identify str
         ategies to overcome some of these challenges. Transitioning to a new paradig
         m for urban water infrastructure will require stakeholders to proactively fo
         rge collaborative relationships, jointly define a shared vision and objectiv
         es, and build new rules to overcome limitations of current institutional pol
         icies.' (1298 chars)
      serialnumber => protected'2073-4441' (9 chars)
      doi => protected'10.3390/w10091127' (17 chars)
      uid => protected17429 (integer)
      _localizedUid => protected17429 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected17429 (integer)modified
      pid => protected124 (integer)
   5 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=14264, pid=124)
      originalId => protected14264 (integer)
      authors => protected'Marttunen,&nbsp;M.; Belton,&nbsp;V.; Lienert,&nbsp;J.' (53 chars)
      title => protected'Are objectives hierarchy related biases observed in practice? A meta-analysi
         s of environmental and energy applications of Multi-Criteria Decision Analys
         is' (154 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2018 (integer)
      volume => protected265 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'178' (3 chars)
      otherpage => protected'194' (3 chars)
      categories => protected'behavioural OR; decision analysis; decision processes; multiple criteria ana
         lysis; OR in environment and climate change' (119 chars)
      description => protected'Procedural and behavioural biases have received little attention in recent M
         ulti-Criteria Decision Analysis (MCDA) research. Our literature review shows
          that most research on biases was done 15–30 years ago. This study focuses
          on biases that are introduced at an early stage of MCDA when building objec
         tives hierarchies and their effect on the weights. The main objective is to 
         investigate whether prior findings regarding such biases, which were mostly 
         based on laboratory experiments, can be found in real-world applications. We
          conducted a meta-analysis of the objectives hierarchies and weight elicitat
         ion procedures in 61 environmental and energy MCDA cases. Relationships betw
         een the structural characteristics of the objectives hierarchy and assigned 
         objectives’ weights were analysed with statistical tests. Our main researc
         h questions were: (i) How does hierarchy size and structure affect the objec
         tives’ weights? (ii) How are weights distributed across economic, social a
         nd environmental objectives? (iii) Is there support for the equalising bias?
          Our findings are mostly aligned with earlier research and suggest that the 
         hierarchy structure and content can substantially influence weight distribut
         ions. For example, hierarchical weighting seems to be sensitive to the asymm
         etry bias, which can occur when a hierarchy has branches that differ in the 
         number of sub-objectives. We found no evidence for the equalising bias. We h
         ighlight issues deserving more attention when developing objectives hierarch
         ies and eliciting weights. The research demonstrates the potential to use me
         ta-analysis, which has not previously been used in this way in the MCDA fiel
         d, to learn from a collection of applications.' (1718 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2017.02.038' (26 chars)
      uid => protected14264 (integer)
      _localizedUid => protected14264 (integer)modified
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      _versionedUid => protected14264 (integer)modified
      pid => protected124 (integer)
   6 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=15205, pid=124)
      originalId => protected15205 (integer)
      authors => protected'Marttunen,&nbsp;M.; Lienert,&nbsp;J.; Belton,&nbsp;V.' (53 chars)
      title => protected'Structuring problems for multi-criteria decision analysis in practice: a lit
         erature review of method combinations' (113 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2017 (integer)
      volume => protected263 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'1' (1 chars)
      otherpage => protected'17' (2 chars)
      categories => protected'problem structuring; multiple criteria decision analysis; multi-methodoly; m
         ulti-stakeholder decision-making' (108 chars)
      description => protected'Structuring problems for Multi-Criteria Decision Analysis (MCDA) has attract
         ed increasing attention over the past 20 years from both a conceptual and a 
         practical perspective. This is reflected in a significant growth in the numb
         er of published applications which use a formal approach to problem structur
         ing in combination with an analytic method for multi-criteria analysis. The 
         problem structuring approaches (PSMs) include general methodologies such as 
         Checkland's Soft Systems Method (SSM), Eden and Ackermann's Strategic Option
         s Design and Analysis (SODA) and other methods that focus on a particular as
         pect. We carried out a literature review that covers eight PSMs (Cognitive a
         nd Causal Maps, DPSIR, Scenario Planning, SSM, Stakeholder Analysis, Strateg
         ic Choice Approach, SODA and SWOT) and seven MCDA methods (AHP, ANP, ELECTRE
         , MAUT, MAVT, PROMETHEE and TOPSIS). We first identified and analysed 333 ar
         ticles published during 2000-2015, then selected 68 articles covering all PS
         M-MCDA combinations, which were studied in detail to understand the associat
         ed processes, benefits and challenges. The three PSMs most commonly combined
          with MCDA are SWOT, Scenario Planning and DPSIR. AHP was by far the most co
         mmonly applied MCDA method. Combining PSMs with MCDA produces a richer view 
         of the decision situation and enables more effective support for different p
         hases of the decision-making process. Some limitations and challenges in com
         bining PSMs and MCDA are also identified, most importantly relating to build
         ing a value tree and assigning criteria weights.' (1568 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2017.04.041' (26 chars)
      uid => protected15205 (integer)
      _localizedUid => protected15205 (integer)modified
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      _versionedUid => protected15205 (integer)modified
      pid => protected124 (integer)
   7 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7799, pid=124)
      originalId => protected7799 (integer)
      authors => protected'Lienert,&nbsp;J.; Scholten,&nbsp;L.; Egger,&nbsp;C.; Maurer,&nbsp;M.' (68 chars)
      title => protected'Structured decision-making for sustainable water infrastructure planning and
          four future scenarios' (98 chars)
      journal => protected'EURO Journal on Decision Processes' (34 chars)
      year => protected2015 (integer)
      volume => protected3 (integer)
      issue => protected'' (0 chars)
      startpage => protected'107' (3 chars)
      otherpage => protected'140' (3 chars)
      categories => protected'decision-making; scenario planning; stakeholder participation; structuring; 
         water infrastructure; water management' (114 chars)
      description => protected'Water supply and wastewater infrastructures are vital for human well-being a
         nd environmental protection; they adhere to the highest standards, are expen
         sive and long-lived. Because they are also aging, substantial planning is re
         quired. Climate and socio-economic change create large planning uncertaintie
         s and simple projections of past developments are no longer adequate. This p
         aper presents the initial phases of a structured decision-making (SDM) proce
         dure which is designed to increase the sustainability of water infrastructur
         e planning and includes various stakeholders in an exemplary Swiss case stud
         y. We evaluate the SDM approach critically based on stakeholder feedback, gi
         ve general recommendations and provide ample material to make it applicable 
         to other settings. We carried out 27 interviews and two stakeholder workshop
         s. We identified important objectives for water infrastructure planning, inc
         luding all three sustainability pillars and their respective attributes (ind
         icators, benchmarks) to measure how well the objectives are achieved. We the
         n created strategic decision alternatives, including "business-as-usual" upg
         rades of the central water supply and wastewater system as well as semi- to 
         fully decentralized alternatives. To tackle future uncertainty, we developed
          four socio-demographic scenarios. We used these to test the robustness of d
         ecision alternatives in a later Multi-Attribute Utility Theory analysis. Add
         itionally, we contribute to the topical discussion of combining scenario pla
         nning with multi-criteria decision analysis and demonstrate how various scen
         arios can stimulate creativity when generating decision alternatives. Their 
         internal consistency is ensured by rigorously specifying them using a strate
         gy generation table. Our SDM procedure can be adapted to inform decisions ab
         out sustainable water infrastructures in other contexts.' (1880 chars)
      serialnumber => protected'2193-9438' (9 chars)
      doi => protected'10.1007/s40070-014-0030-0' (25 chars)
      uid => protected7799 (integer)
      _localizedUid => protected7799 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7799 (integer)modified
      pid => protected124 (integer)
   8 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=14528, pid=124)
      originalId => protected14528 (integer)
      authors => protected'Lienert,&nbsp;J.; Scholten,&nbsp;L.; Egger,&nbsp;C.; Maurer,&nbsp;M.' (68 chars)
      title => protected'Additional information for "Structured decision-making for sustainable water
          infrastructure planning and four future scenarios"' (127 chars)
      journal => protected'' (0 chars)
      year => protected2015 (integer)
      volume => protected0 (integer)
      issue => protected'' (0 chars)
      startpage => protected'48&nbsp;p' (9 chars)
      otherpage => protected'' (0 chars)
      categories => protected'decision-making; scenario planning; stakeholder participation; structuring; 
         water infrastructure; water management' (114 chars)
      description => protected'To support Sustainable Water Infrastructure Planning (SWIP), a participatory
          decision-making procedure was developed in the SWIP project at Eawag<sup>1<
         /sup>. This procedure is based on Structured Decision Making (SDM)<sup>2</su
         p>, which guides stakeholders through different steps of the decision proces
         s: (1) clarify decision context (may include a stakeholder analysis); (2) de
         fine objectives and attributes; (3) develop alternatives; (4) estimate conse
         quences; (5) evaluate trade-offs and select alternatives; and (6) implement,
          monitor and review.<br /> The SDM application to water infrastructure plann
         ing was developed in close collaboration with stakeholders in a case study n
         ear Zürich, Switzerland. The experienced advantages and disadvantages of th
         e first steps of the proposed procedure were discussed in a scientific publi
         cation by Lienert et al. (2014)<sup>3</sup>. We strongly encourage others to
          apply this SDM procedure for sustainable water infrastructure planning to t
         heir specific case. To this end, the approach was developed in a generalized
          way and we present more material covering the different steps of the SDM pr
         ocedure in this working paper.<br /> The here presented material includes di
         fferent steps in the development of a comprehensive objectives hierarchy for
          water supply and wastewater management. The objectives are operationalized 
         with attributes (indicators/ benchmarks), which are described in detail, inc
         luding the ranges (best- and worst-possible case) and a description of the s
         tatus quo. Four future scenarios were developed in a scenario planning works
         hop together with local stakeholders to capture socio-demographic uncertaint
         y, which are again described in detail. Ten strategic decision alternatives 
         were developed by stakeholders with help of a strategy generation table. The
         se include the current system with central water supply and wastewater treat
         ment plants, but also fully decentralized on-site options and different mana
         gement strategies. The s...' (2280 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'' (0 chars)
      uid => protected14528 (integer)
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      pid => protected124 (integer)
   9 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7292, pid=124)
      originalId => protected7292 (integer)
      authors => protected'Lienert,&nbsp;J.; Schnetzer,&nbsp;F.; Ingold,&nbsp;K.' (53 chars)
      title => protected'Stakeholder analysis combined with social network analysis provides fine-gra
         ined insights into water infrastructure planning processes' (134 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2013 (integer)
      volume => protected125 (integer)
      issue => protected'' (0 chars)
      startpage => protected'134' (3 chars)
      otherpage => protected'148' (3 chars)
      categories => protected'actors; Infrastructure; social network analysis; stakeholder analysis; water
          supply; wastewater management' (106 chars)
      description => protected'Environmental policy and decision-making are characterized by complex intera
         ctions between different actors and sectors. As a rule, a stakeholder analys
         is is performed to understand those involved, but it has been criticized for
          lacking quality and consistency. This lack is remedied here by a formal soc
         ial network analysis that investigates collaborative and multi-level governa
         nce settings in a rigorous way. We examine the added value of combining both
          elements. Our case study examines infrastructure planning in the Swiss wate
         r sector. Water supply and wastewater infrastructures are planned far into t
         he future, usually on the basis of projections of past boundary conditions. 
         They affect many actors, including the population, and are expensive. In vie
         w of increasing future dynamics and climate change, a more participatory and
          long-term planning approach is required. Our specific aims are to investiga
         te fragmentation in water infrastructure planning, to understand how actors 
         from different decision levels and sectors are represented, and which intere
         sts they follow. We conducted 27 semi-structured interviews with local stake
         holders, but also cantonal and national actors. The network analysis confirm
         ed our hypothesis of strong fragmentation: we found little collaboration bet
         ween the water supply and wastewater sector (confirming horizontal fragmenta
         tion), and few ties between local, cantonal, and national actors (confirming
          vertical fragmentation). Infrastructure planning is clearly dominated by en
         gineers and local authorities. Little importance is placed on longer-term st
         rategic objectives and integrated catchment planning, but this was perceived
          as more important in a second analysis going beyond typical questions of st
         akeholder analysis. We conclude that linking a stakeholder analysis, compris
         ing rarely asked questions, with a rigorous social network analysis is very 
         fruitful and generates complementary results. This combination gave us deepe
         r insight into the socio...' (2108 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2013.03.052' (29 chars)
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array(2 items)
   publications => '14294,7207,6474' (15 chars)
   libraryUrl => '' (0 chars)

array(3 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=14294, pid=124)
      originalId => protected14294 (integer)
      authors => protected'Scholten, L.; Maurer, M.; Lienert, J.' (52 chars)
      title => protected'Comparing multi-criteria decision analysis and integrated assessment to supp
         ort long-term water supply planning' (111 chars)
      journal => protected'PLoS One' (8 chars)
      year => protected2017 (integer)
      volume => protected12 (integer)
      issue => protected'5' (1 chars)
      startpage => protected'e0176663 (30 pp.)' (17 chars)
      otherpage => protected'' (0 chars)
      categories => protected'' (0 chars)
      description => protected'We compare the use of multi-criteria decision analysis (MCDA)–or more prec
         isely, models used in multi-attribute value theory (MAVT)–to integrated as
         sessment (IA) models for supporting long-term water supply planning in a sma
         ll town case study in Switzerland. They are used to evaluate thirteen system
          scale water supply alternatives in four future scenarios regarding forty-fo
         ur objectives, covering technical, social, environmental, and economic aspec
         ts. The alternatives encompass both conventional and unconventional solution
         s and differ regarding technical, spatial and organizational characteristics
         . This paper focuses on the impact assessment and final evaluation step of t
         he structured MCDA decision support process. We analyze the performance of t
         he alternatives for ten stakeholders. We demonstrate the implications of mod
         el assumptions by comparing two IA and three MAVT evaluation model layouts o
         f different complexity. For this comparison, we focus on the validity (ranki
         ng stability), desirability (value), and distinguishability (value range) of
          the alternatives given the five model layouts. These layouts exclude or inc
         lude stakeholder preferences and uncertainties. Even though all five led us 
         to identify the same best alternatives, they did not produce identical ranki
         ngs. We found that the MAVT-type models provide higher distinguishability an
         d a more robust basis for discussion than the IA-type models. The needed com
         plexity of the model, however, should be determined based on the intended us
         e of the model within the decision support process. The best-performing alte
         rnatives had consistently strong performance for all stakeholders and future
          scenarios, whereas the current water supply system was outperformed in all 
         evaluation layouts. The best-performing alternatives comprise proactive pipe
          rehabilitation, adapted firefighting provisions, and decentralized water st
         orage and/or treatment. We present recommendations for possible ways of impr
         oving water supply plann...' (2033 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.1371/journal.pone.0176663' (28 chars)
      uid => protected14294 (integer)
      _localizedUid => protected14294 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected14294 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7207, pid=124)
      originalId => protected7207 (integer)
      authors => protected'Scholten, L.; Scheidegger, A.; Reichert, P.; Maurer, M.' (75 chars)
      title => protected'Combining expert knowledge and local data for improved service life modeling
          of water supply networks' (101 chars)
      journal => protected'Environmental Modelling and Software' (36 chars)
      year => protected2013 (integer)
      volume => protected42 (integer)
      issue => protected'' (0 chars)
      startpage => protected'1' (1 chars)
      otherpage => protected'16' (2 chars)
      categories => protected'scarce data; expert knowledge elicitation; expert aggregation; Bayesian infe
         rence; water supply network; service life modeling' (126 chars)
      description => protected'The presented approach aims to overcome the scarce data problem in service l
         ife modeling of water networks by combining subjective expert knowledge and 
         local replacement data. A procedure to elicit imprecise quantile estimates o
         f survival functions from experts, considering common cognitive biases, was 
         developed and applied. The individual expert priors of the parameters of the
          service life distribution are obtained by regression over the stated distri
         bution quantiles and aggregated into a single prior distribution. Furthermor
         e, a likelihood function for the commonly encountered censored and truncated
          pipe replacement data is formulated. The suitability of the suggested Bayes
         ian approach based on elicitation data from eight experts and real network d
         ata is demonstrated. Robust parameter estimates could be derived in data sit
         uations where frequentist maximum likelihood estimation is unsatisfactory, a
         nd to show how the consideration of imprecision and in-between-variance of e
         xperts improves posterior inference.' (1024 chars)
      serialnumber => protected'1364-8152' (9 chars)
      doi => protected'10.1016/j.envsoft.2012.11.013' (29 chars)
      uid => protected7207 (integer)
      _localizedUid => protected7207 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7207 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=6474, pid=124)
      originalId => protected6474 (integer)
      authors => protected'Escher, B. I.; Baumgartner, R.; Koller, M.; Treyer,&nbsp
         ;K.; Lienert, J.; McArdell, C. S.' (124 chars)
      title => protected'Environmental toxicology and risk assessment of pharmaceuticals from hospita
         l wastewater' (88 chars)
      journal => protected'Water Research' (14 chars)
      year => protected2011 (integer)
      volume => protected45 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'75' (2 chars)
      otherpage => protected'92' (2 chars)
      categories => protected'pharmaceuticals; quantitative structure-activity relationship; predicted no-
         effect concentration; risk quotient; elimination; source separation; wastewa
         ter; hospital' (165 chars)
      description => protected'In this paper, we evaluated the ecotoxicological potential of the 100 pharma
         ceuticals expected to occur in highest quantities in the wastewater of a gen
         eral hospital and a psychiatric center in Switzerland. We related the toxici
         ty data to predicted concentrations in different wastewater streams to asses
         s the overall risk potential for different scenarios, including conventional
          biological pretreatment in the hospital and urine source separation. The co
         ncentrations in wastewater were estimated with pharmaceutical usage informat
         ion provided by the hospitals and literature data on human excretion into fe
         ces and urine. Environmental concentrations in the effluents of the exposure
          scenarios were predicted by estimating dilution in sewers and with literatu
         re data on elimination during wastewater treatment. Effect assessment was pe
         rformed using quantitative structure-activity relationships because experime
         ntal ecotoxicity data were only available for less than 20% of the 100 pharm
         aceuticals with expected highest loads. As many pharmaceuticals are acids or
          bases, a correction for the speciation was implemented in the toxicity pred
         iction model.<BR/>The lists of Top-100 pharmaceuticals were distinctly diffe
         rent between the two hospital types with only 37 pharmaceuticals overlapping
          in both datasets. 31 Pharmaceuticals in the general hospital and 42 pharmac
         euticals in the psychiatric center had a risk quotient above 0.01 and thus c
         ontributed to the mixture risk quotient. However, together they constituted 
         only 14% (hospital) and 30% (psychiatry) of the load of pharmaceuticals. Hen
         ce, medical consumption data alone are insufficient predictors of environmen
         tal risk. The risk quotients were dominated by amiodarone, ritonavir, clotri
         mazole, and diclofenac. Only diclofenac is well researched in ecotoxicology,
          while amiodarone, ritonavir, and clotrimazole have no or very limited exper
         imental fate or toxicity data available. The presented computational analysi
         s thus helps setting pri...' (2431 chars)
      serialnumber => protected'0043-1354' (9 chars)
      doi => protected'10.1016/j.watres.2010.08.019' (28 chars)
      uid => protected6474 (integer)
      _localizedUid => protected6474 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected6474 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '35248,32147,30231,25777,17651,17109,16561,10404,10567' (53 chars)
   libraryUrl => '' (0 chars)

array(9 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=35248, pid=124)
      originalId => protected35248 (integer)
      authors => protected'Wiget, M.; Lienert, J.; Ingold, K.' (49 chars)
      title => protected'Understanding policy instrument preferences under conflicting beliefs and un
         certainty' (85 chars)
      journal => protected'Journal of Public Policy' (24 chars)
      year => protected2025 (integer)
      volume => protected45 (integer)
      issue => protected'4' (1 chars)
      startpage => protected'577' (3 chars)
      otherpage => protected'610' (3 chars)
      categories => protected'advocacy coalition framework; beliefs; multi-attribute utility theory; pesti
         cides; policy instrument preferences; risk attitudes' (128 chars)
      description => protected'Anticipating policy instrument preferences can be an important step in polic
         y design to address pressing sustainability problems. But studying preferenc
         es for policy instruments is a difficult task because sustainability problem
         s involve a non-negligible degree of tradeoffs and uncertainty. We therefore
          study the role of actors’ underlying ideologies (policy core beliefs) and
          risk attitudes in forming their preferences for different instruments. Comb
         ining the advocacy coalition framework with multi-attribute utility theory, 
         both ideologies and attitudes toward uncertain policy consequences can influ
         ence instrument preferences. So far, policy studies literature has paid litt
         le attention to trade-offs between policy core beliefs or risk attitudes. Us
         ing Bayesian regression models on data from actors in Swiss pesticide risk r
         eduction policy, we found that attitudes toward trade-offs and risk are inde
         ed relevant to explain preferences for different regulatory and market-based
          instruments addressing agricultural pesticide use. Therefore, when designin
         g policies for sustainability problems, considering the relative importance 
         of policy core beliefs for different actors can help to find effective and b
         roadly supported solutions. In addition, risk attitudes should be considered
          when policy design involves more coercive and stimulative policy instrument
         s.' (1370 chars)
      serialnumber => protected'0143-814X' (9 chars)
      doi => protected'10.1017/S0143814X25100664' (25 chars)
      uid => protected35248 (integer)
      _localizedUid => protected35248 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected35248 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=32147, pid=124)
      originalId => protected32147 (integer)
      authors => protected'Aubert, A. H.; Schmid, S.; Lienert, J.' (58 chars)
      title => protected'Can online interfaces enhance learning for public decision-making? Eliciting
          citizens' preferences for multicriteria decision analysis' (134 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2024 (integer)
      volume => protected314 (integer)
      issue => protected'2' (1 chars)
      startpage => protected'760' (3 chars)
      otherpage => protected'775' (3 chars)
      categories => protected'behavioral OR; learning; preference elicitation; online survey; gamification' (76 chars)
      description => protected'Innovative online interfaces informing and consulting citizens about their p
         references for multicriteria decision analysis (MCDA) could make public deci
         sion-making more participatory. We propose a three-faceted learning for deci
         sion-making framework and used it to test newly-designed online weight elici
         tation interfaces. We investigated two features meant to enhance learning: f
         ully-fledged gamification with a narrative, interaction with nonplayer chara
         cters, and ambient music, and learning loops (LL) using consistency checks o
         f elicited weights and the challenge to resolve inconsistencies. We operatio
         nalized our framework with a novel systematic set of measure instruments pro
         viding complementary data types. We designed a 2 × 2 between-subject expe
         riment with pre- and postquestionnaires. Answers from 769 respondents, repre
         sentative of the Swiss population in age and gender, indicated that the inte
         rfaces successfully raised awareness about wastewater management. Gamificati
         on was helpful: respondents performed better in the factual learning test, a
         nd unexpected social learning occurred. However, gamification lowered the pe
         rception of process understanding. The LL were beneficial: objectively, resp
         ondents performed better in the factual learning test. However, respondents 
         perceived the LL as cognitively demanding and their factual learning as lowe
         r. Our structured assessment highlighted the need for further research to in
         vestigate, for instance, high interpersonal variability and the disparities 
         between tested and perceived learning. Measuring preference construction rem
         ains challenging; and social learning should be added to the assessment fram
         ework. Applying such structured assessment of learning outcomes to more trad
         itional operational research interventions would provide a baseline for futu
         re comparison.' (1838 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2023.10.031' (26 chars)
      uid => protected32147 (integer)
      _localizedUid => protected32147 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected32147 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=30231, pid=124)
      originalId => protected30231 (integer)
      authors => protected'Kuller, M.; Beutler, P.; Lienert, J.' (51 chars)
      title => protected'Preference change in stakeholder group-decision processes in the public sect
         or: extent, causes and implications' (111 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2023 (integer)
      volume => protected308 (integer)
      issue => protected'' (0 chars)
      startpage => protected'1268' (4 chars)
      otherpage => protected'1285' (4 chars)
      categories => protected'behavioural operational research (OR); preference change; multi-criteria dec
         ision analysis; group decision-making; public policy' (128 chars)
      description => protected'Public decisions are typically related to large investments leaving long leg
         acies. We should therefore strive for wide societal agreement regarding such
          decisions, which meet the diversity of preferences between stakeholders and
          over time. But if, how and why do stakeholder preferences change over time?
          In decision analysis, these questions received little attention. We explore
         d them using three real-world public decision processes, based on Multi-Crit
         eria Decision Analysis (MCDA). We used repeatedly elicited ranking of object
         ives over time. These were obtained during three to five moderated workshops
          we organised several months apart (total N = 200 questionnaires, and 100 st
         akeholders). We analysed individual and aggregated (group) preferences, thei
         r changes and potential drivers including demographic and experience variabl
         es. We also analysed the effect of preference evolution on the performance o
         f decision-alternatives with MCDA over time. We found that stakeholder prefe
         rences often changed over time, both on an individual and group level. These
          changes did not systematically diminish over time, but some convergence of 
         preferences was observed for stakeholders who repeatedly participated in wor
         kshops. High-ranking objectives were relatively stable and similar between s
         takeholders. While preference changes could not be explained by demographics
          and personal experiences, repeated interaction with the decision problem mi
         ght play a role. Neither the observed disagreement between stakeholders, nor
          the preference changes over time affected the best and worst performing alt
         ernatives in our decision problems. Thus, despite changing stakeholder prefe
         rences over time, public decision-makers can contrive robust solutions to co
         mplex public decision problems in the present.' (1794 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2022.12.001' (26 chars)
      uid => protected30231 (integer)
      _localizedUid => protected30231 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected30231 (integer)modified
      pid => protected124 (integer)
   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=25777, pid=124)
      originalId => protected25777 (integer)
      authors => protected'Aubert, A. H.; Lienert, J.; von Helversen, B.' (65 chars)
      title => protected'Gamified environmental multi‐criteria decision analysis: information on ob
         jectives and range insensitivity bias' (113 chars)
      journal => protected'International Transactions in Operational Research' (50 chars)
      year => protected2023 (integer)
      volume => protected30 (integer)
      issue => protected'6' (1 chars)
      startpage => protected'3738' (4 chars)
      otherpage => protected'3770' (4 chars)
      categories => protected'behavioral OR; wastewater; preference elicitation; learning; Decision Suppor
         t System; citizen participation; evaluation process; self-determination theo
         ry; gamification' (168 chars)
      description => protected'Multi-criteria decision analysis (MCDA) is well suited to address complex pu
         blic policy problems but could benefit from new tools to involve many laypeo
         ple. Online information on specialized topics could be more engaging by incl
         uding game elements. This paper reports an experiment that assessed a gamifi
         ed interface to (1) inform laypeople about the objectives to consider in was
         tewater management decisions, (2) assist them in constructing range-based pr
         eferences, and (3) provide a positive experience. We measured the effects wi
         th (1) a knowledge pre- and posttest, (2) the elicited weights and a range s
         ensitivity index, and (3) an experience questionnaire based on self-determin
         ation theory. Answers from 174 participants indicated that participants lear
         nt about the objectives and constructed preferences in both the gamified and
          control treatments. However, in neither were weights sufficiently adjusted.
          Our gamification making the ranges salient did not help overcome this bias.
          Both treatments were experienced as neutral to positive, the gamified being
          more entertaining. We discuss implications: if gamification of tools for pa
         rticipatory decision-making is to be promoted, it requires further research.
          Range insensitivity remains an unresolved bias in MCDA.' (1272 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.1111/itor.13206' (18 chars)
      uid => protected25777 (integer)
      _localizedUid => protected25777 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected25777 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=17651, pid=124)
      originalId => protected17651 (integer)
      authors => protected'Aubert, A. H.; Lienert, J.' (41 chars)
      title => protected'Gamified online survey to elicit citizens' preferences and enhance learning 
         for environmental decisions' (103 chars)
      journal => protected'Environmental Modelling and Software' (36 chars)
      year => protected2019 (integer)
      volume => protected111 (integer)
      issue => protected'' (0 chars)
      startpage => protected'1' (1 chars)
      otherpage => protected'12' (2 chars)
      categories => protected'' (0 chars)
      description => protected'Multi-Criteria Decision Analysis (MCDA) requires a critical step, namely to 
         elicit individual preferences. On the basis of learning theories, we formali
         ze preference construction as learning about facts and values, and as a proc
         ess; we also conceptualize an online preference elicitation survey that offe
         rs learning loops to increase factual learning and support preference constr
         uction. Another originality is gamification. Game elements (a narrative and 
         non-player characters as motivational affordance) keep respondents engaged i
         n the demanding task of weight elicitation. Our tool enables broad public pa
         rticipation in MCDA, allowing reliable online preference elicitation. The su
         rvey concept was tested with 107 students and a control treatment. Quantitat
         ive and qualitative data indicate that the concept works. Participants’ fa
         ctual knowledge increased. The survey helped students to learn about their o
         wn preferences concerning the importance of objectives. The practical implic
         ation is that weighting can be reliably elicited by online surveys. Particip
         ants reported a positive experience; further ways to improve it are thorough
         ly discussed.' (1153 chars)
      serialnumber => protected'1364-8152' (9 chars)
      doi => protected'10.1016/j.envsoft.2018.09.013' (29 chars)
      uid => protected17651 (integer)
      _localizedUid => protected17651 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected17651 (integer)modified
      pid => protected124 (integer)
   5 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=17109, pid=124)
      originalId => protected17109 (integer)
      authors => protected'Haag, F.; Lienert, J.; Schuwirth, N.; Reichert, P.' (70 chars)
      title => protected'Identifying non-additive multi-attribute value functions based on uncertain 
         indifference statements' (99 chars)
      journal => protected'Omega: the international journal of management science' (54 chars)
      year => protected2019 (integer)
      volume => protected85 (integer)
      issue => protected'' (0 chars)
      startpage => protected'49' (2 chars)
      otherpage => protected'67' (2 chars)
      categories => protected'decision making/process; preference modeling; multi-attribute value theory; 
         uncertainty; aggregation; environmental assessment' (126 chars)
      description => protected'Multi-criteria decision analysis (MCDA) requires an accurate representation 
         of the preferences of decision-makers, for instance in the form of a multi-a
         ttribute value function. Typically, additivity or other stringent assumption
         s about the preferences are made to facilitate elicitation by assuming a sim
         ple parametric form. When relaxing such assumptions, parameters cannot be el
         icited easily with standard methods. We present a novel approach for identif
         ying multi-attribute value functions which can have any shape. As preference
          information indifference statements are used that can be elicited by trade-
         off questions. Instead of asking one indifference statement for each pair of
          attributes, we ask for multiple trade-offs at different points in the attri
         bute space. This allows inferring parameters of complex value functions desp
         ite the simplicity of the preference statements. Parameters are estimated by
          taking into account preference and elicitation uncertainty with a probabili
         stic model. Statistical inference supports identifying the most adequate pre
         ference model out of several candidate models through quantifying the uncert
         ainty and assessing the need for non-additivity. The approach is elaborated 
         for determining value functions by hierarchical aggregation. We apply it to 
         an assessment of the ecological state of rivers, which is used to support en
         vironmental management decisions in Switzerland. Preference models of four e
         xperts were quantified, confirming the feasibility of the approach and the r
         elevance of considering non-additive functions. The method suggests a promis
         ing direction for improving the representation of preferences.' (1658 chars)
      serialnumber => protected'0305-0483' (9 chars)
      doi => protected'10.1016/j.omega.2018.05.011' (27 chars)
      uid => protected17109 (integer)
      _localizedUid => protected17109 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected17109 (integer)modified
      pid => protected124 (integer)
   6 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=16561, pid=124)
      originalId => protected16561 (integer)
      authors => protected'Zheng, J.; Lienert, J.' (32 chars)
      title => protected'Stakeholder interviews with two MAVT preference elicitation philosophies in 
         a Swiss water infrastructure decision: aggregation using SWING-weighting and
          disaggregation using UTA<sup>GMS</sup>' (191 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2018 (integer)
      volume => protected267 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'273' (3 chars)
      otherpage => protected'287' (3 chars)
      categories => protected'multiple criteria analysis; behavioral OR; preference elicitation; OR in env
         ironment and climate change; stakeholder interview' (126 chars)
      description => protected'We used two types of preference elicitation methods based on multi-attribute
          value theory (MAVT) for a wastewater infrastructure decision in Switzerland
         . We aimed to register the implementation impacts of two preference elicitat
         ion philosophies (aggregation, disaggregation) in a large, real-world case a
         nd give guidance on these elicitation approaches for practitioners. We condu
         cted two series of face-to-face inter- views with the same ten. The first in
         terview set used direct aggregation preference elicitation methods, which de
         composed an additive value model into the elicitation of weights (SMART/SWIN
         G-variant) and marginal value functions (bi-section method). In the second i
         nterview series, indirect disaggregation was used, based on UTA<SUP>GMS</SUP
         > . The weights and marginal value functions for 19 objectives were later si
         multa- neously inferred with linear programming from pairwise comparisons of
          hypothetical alternatives. One aim was to design the UTA<SUP>GMS</SUP> comp
         arisons for many objectives. Further, we aimed to identify differ- ences and
          commonalities of the two methods concerning the elicited preferences, the M
         AVT evaluation results of six real-world wastewater infrastructure alternati
         ves, and the stakeholders’ and analysts’ feed- backs. Similar best alter
         natives indicate convergence of the two elicitation methods. This demonstrat
         es the applicability of the UTA<SUP>GMS</SUP> elicitation procedure to a ver
         y complex decision problem. However, the two elicitation methods were percei
         ved differently by the respondents and required different effort from the an
         alysts. For individual stakeholders, preferences were sometimes rather diffe
         rent between the inter- views, which could be largely explained by the const
         ructive nature of preference formation. This indicates the importance of sup
         porting stakeholder learning in the application of MCDA.' (1880 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2017.11.018' (26 chars)
      uid => protected16561 (integer)
      _localizedUid => protected16561 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected16561 (integer)modified
      pid => protected124 (integer)
   7 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=10404, pid=124)
      originalId => protected10404 (integer)
      authors => protected'Langhans,&nbsp;S.&nbsp;D.; Lienert,&nbsp;J.' (43 chars)
      title => protected'Four common simplifications of multi-criteria decision analysis do not hold 
         for river rehabilitation' (100 chars)
      journal => protected'PLoS One' (8 chars)
      year => protected2016 (integer)
      volume => protected11 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'e0150695 (27 pp.)' (17 chars)
      otherpage => protected'' (0 chars)
      categories => protected'' (0 chars)
      description => protected'River rehabilitation aims at alleviating negative effects of human impacts s
         uch as loss of biodiversity and reduction of ecosystem services. Such interv
         entions entail difficult trade-offs between different ecological and often s
         ocio-economic objectives. Multi-Criteria Decision Analysis (MCDA) is a very 
         suitable approach that helps assessing the current ecological state and prio
         ritizing river rehabilitation measures in a standardized way, based on stake
         holder or expert preferences. Applications of MCDA in river rehabilitation p
         rojects are often simplified, i.e. using a limited number of objectives and 
         indicators, assuming linear value functions, aggregating individual indicato
         r assessments additively, and/or assuming risk neutrality of experts. Here, 
         we demonstrate an implementation of MCDA expert preference assessments to ri
         ver rehabilitation and provide ample material for other applications. To tes
         t whether the above simplifications reflect common expert opinion, we carrie
         d out very detailed interviews with five river ecologists and a hydraulic en
         gineer. We defined essential objectives and measurable quality indicators (a
         ttributes), elicited the experts´ preferences for objectives on a standardi
         zed scale (value functions) and their risk attitude, and identified suitable
          aggregation methods. The experts recommended an extensive objectives hierar
         chy including between 54 and 93 essential objectives and between 37 to 61 es
         sential attributes. For 81% of these, they defined non-linear value function
         s and in 76% recommended multiplicative aggregation. The experts were risk a
         verse or risk prone (but never risk neutral), depending on the current ecolo
         gical state of the river, and the experts´ personal importance of objective
         s. We conclude that the four commonly applied simplifications clearly do not
          reflect the opinion of river rehabilitation experts. The optimal level of m
         odel complexity, however, remains highly case-study specific depending on da
         ta and resource availabi...' (2062 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.1371/journal.pone.0150695' (28 chars)
      uid => protected10404 (integer)
      _localizedUid => protected10404 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected10404 (integer)modified
      pid => protected124 (integer)
   8 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=10567, pid=124)
      originalId => protected10567 (integer)
      authors => protected'Lienert,&nbsp;J.; Duygan,&nbsp;M.; Zheng,&nbsp;J.' (49 chars)
      title => protected'Preference stability over time with multiple elicitation methods to support 
         wastewater infrastructure decision-making' (117 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2016 (integer)
      volume => protected253 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'746' (3 chars)
      otherpage => protected'760' (3 chars)
      categories => protected'behavioral OR; weight elicitation; multiple criteria analysis; online survey
         ; OR in environment and climate change' (114 chars)
      description => protected'We used a multi-method and repeated elicitation approach across different st
         akeholder groups to explore possible differences in the outcome of an enviro
         nmental decision. We compared different preference elicitation procedures ba
         sed on Multi Criteria Decision Analysis (MCDA) over time for a water infrast
         ructure decision in Switzerland. We implemented the SWING and SMART/SWING we
         ight elicitation methods and also compared results with earlier stakeholder 
         interviews. In all procedures, the weights for environmental protection and 
         well-functioning (waste-)water systems were higher than for cost reduction. 
         The SMART/SWING variant produced statistically significantly different weigh
         ts than SWING. Weights changed over time with both elicitation methods. Weig
         hts were more stable with the SWING method, which was also perceived as slig
         htly more difficult than the SMART/SWING variant. We checked whether the dif
         ference in weights produced by the two elicitation methods and the differenc
         e in their stability affects the ranking of six alternatives. Overall an unc
         onventional decentralized alternative ranked first or second in 92 percent o
         f all elicitation procedures, which were the online surveys or interviews. F
         or practical decision-making, using multiple methods across different stakeh
         older groups and repeating elicitation can increase our confidence that the 
         results reflect the true opinions of the decision makers and stakeholders.' (1442 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2016.03.010' (26 chars)
      uid => protected10567 (integer)
      _localizedUid => protected10567 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected10567 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '32194' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=32194, pid=124)
      originalId => protected32194 (integer)
      authors => protected'Aubert, A. H.; Lienert, J.' (41 chars)
      title => protected'Operational research for, with, and by citizens: an overview' (60 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2024 (integer)
      volume => protected316 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'800' (3 chars)
      otherpage => protected'814' (3 chars)
      categories => protected'decision support systems; OR in government; stakeholder participation; e-dem
         ocracy; community operational research' (114 chars)
      description => protected'Interest in citizen participation is increasing generally. Almost all operat
         ional research (OR) is engaged with clients, but it is mainly in the areas o
         f Soft and Community OR that wider stakeholder and citizen participation has
          been a significant focus. It is the involvement of citizens that is the sub
         ject of this paper. We surveyed OR literature and compiled a corpus of 62 st
         udies, the earliest from 1970, to systematically characterize the involvemen
         t of citizens in OR processes. Our review produced three findings: First, so
         me fields of OR have embraced citizen participation, but this is not yet a m
         ajor concern outside the field of Community OR. Second, citizen participatio
         n in OR processes is often driven by a moral rationale. Third, progress in i
         nformation and communication technology (ICT) enables broad participation, b
         ut traditional processes requiring physical presence can also be participato
         ry. From these insights, we formulate research opportunities for OR. (1) OR 
         may join Community OR's endeavor to engage with and empower citizens who hav
         e so far rarely been involved in OR processes. (2) OR may identify benefits 
         and drawbacks of digital OR processes in empirical studies. (3) OR may deter
         mine whether involving large numbers of citizens is suitable for the societa
         l scale. (4) OR may research building and maintaining trust. (5) OR may join
          efforts for data protection of participants. (6) OR may systematically repo
         rt and reflect on participatory OR processes. (7) OR should continue researc
         hing the fair aggregation of individual inputs. Citizen participation in OR 
         is topical and challenging. Pursuing these research opportunities will contr
         ibute to OR fulfilling its mandate of better decision-making in close cooper
         ation with all affected stakeholders.' (1785 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2023.10.037' (26 chars)
      uid => protected32194 (integer)
      _localizedUid => protected32194 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected32194 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '24490,19344,16797,9167,7783,7276,6914' (37 chars)
   libraryUrl => '' (0 chars)

array(7 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=24490, pid=124)
      originalId => protected24490 (integer)
      authors => protected'Haag, F.; Aubert, A. H.; Lienert, J.' (56 chars)
      title => protected'ValueDecisions, a web app to support decisions with conflicting objectives, 
         multiple stakeholders, and uncertainty' (114 chars)
      journal => protected'Environmental Modelling and Software' (36 chars)
      year => protected2022 (integer)
      volume => protected150 (integer)
      issue => protected'' (0 chars)
      startpage => protected'105361 (19 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'multi criteria decision analysis; MCDA software; multi-attribute value theor
         y; environmental decision analysis; open source; population survey' (142 chars)
      description => protected'Complex environmental and public policy decisions profit from structured pro
         cedures such as multi-criteria decision analysis (MCDA). To support such dec
         isions, the new open source application ValueDecisions provides advanced ana
         lysis and visualization with no programming expected from users. Based on mu
         lti-attribute value theory (MAVT), it offers analysis for decisions with con
         flicting and interacting objectives, multiple stakeholders, and uncertain co
         nsequences of options. Programmed in R, the shiny web framework makes it acc
         essible via a graphical user interface in the browser. We exemplify using Va
         lueDecisions for a wastewater infrastructure planning case in the Paris regi
         on. We surveyed preferences of 655 citizens and conducted sensitivity analys
         is of preference parameters. The best management options were robust across 
         a range of preference profiles and assumptions. To evaluate the app, we deve
         loped a novel usability test based on the ISO standard for software quality 
         and surveyed students using ValueDecisions for case studies.' (1048 chars)
      serialnumber => protected'1364-8152' (9 chars)
      doi => protected'10.1016/j.envsoft.2022.105361' (29 chars)
      uid => protected24490 (integer)
      _localizedUid => protected24490 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected24490 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=19344, pid=124)
      originalId => protected19344 (integer)
      authors => protected'Haag, F.; Reichert, P.; Maurer, M.; Lienert, J.' (67 chars)
      title => protected'Integrating uncertainty of preferences and predictions in decision models: a
         n application to regional wastewater planning' (121 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2019 (integer)
      volume => protected252 (integer)
      issue => protected'' (0 chars)
      startpage => protected'109652 (16 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'multi-criteria decision analysis; urban water management; uncertainty; stake
         holder preferences; multi-attribute utility theory; adaptive utility' (144 chars)
      description => protected'Decision-making in environmental management requires eliciting preferences o
         f stakeholders and predicting outcomes of decision alternatives. Usually, pr
         eferences and predictions are both uncertain. Uncertainty of predictions can
          be tackled by multi-attribute utility theory, but the uncertainty of prefer
         ences remains a challenge. We demonstrate an approach for including both unc
         ertainties in a multi-criteria decision analysis (MCDA), using utility theor
         y and the concept of expected expected utility. For a decision regarding a r
         egional merger of wastewater infrastructure in Switzerland, we constructed p
         reference models for four stakeholders. These models also allowed for non-ad
         ditive interactions between objectives. We evaluated the performance of elev
         en decision alternatives for which we predicted potential outcomes. Even tho
         ugh uncertainties were high, we could draw conclusions based on the expected
          expected utility of alternatives. Building a pipeline to discharge treated 
         wastewater to a larger river emerged as a potential consensus alternative to
          mitigate the problem of micropollutants in a small stream. We investigated 
         the robustness of the findings with sensitivity analysis regarding the prefe
         rence parameters and the included objectives. In their actual decision, the 
         stakeholders partly preferred other alternatives than those proposed by the 
         model. Their choices could be explained by reduced decision models in which 
         only few objectives were included. This may indicate the use of simplified c
         hoice heuristics by the stakeholders. The presented approach is feasible for
          supporting other difficult environmental or engineering decisions in practi
         ce, for which we give a number of recommendations.' (1722 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2019.109652' (29 chars)
      uid => protected19344 (integer)
      _localizedUid => protected19344 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected19344 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=16797, pid=124)
      originalId => protected16797 (integer)
      authors => protected'Aubert, A. H.; Bauer, R.; Lienert, J.' (57 chars)
      title => protected'A review of water-related serious games to specify use in environmental Mult
         i-Criteria Decision Analysis' (104 chars)
      journal => protected'Environmental Modelling and Software' (36 chars)
      year => protected2018 (integer)
      volume => protected105 (integer)
      issue => protected'' (0 chars)
      startpage => protected'64' (2 chars)
      otherpage => protected'78' (2 chars)
      categories => protected'Multi-Criteria Decision Analysis; sustainability; serious game; gamification
         ; stakeholder participation; behavioral operational research' (136 chars)
      description => protected'Serious games and gamification are nowadays pervasive. They are used to comm
         unicate about science and sometimes to involve citizens in science (e.g. cit
         izen science). Concurrently, environmental decision analysis is challenged b
         y the high cognitive load of the decision-making process and the possible bi
         ases threatening the rationality assumptions. Difficult decision-making proc
         esses can result in incomplete preference construction, and are generally li
         mited to few participants. We reviewed 43 serious games and gamified applica
         tions related to water. We covered the broad diversity of serious games, whi
         ch could be explained by the still unsettled terminology in the research are
         a of gamification and serious gaming. We discuss how existing games could be
         nefit early steps of Multi-Criteria Decision Analysis (MCDA), including prob
         lem structuring, stakeholder analysis, defining objectives, and exploring al
         ternatives. We argue that no existing game allows for preference elicitation
         ; one of the most challenging steps of MCDA. We propose many research opport
         unities for behavioral operational research.' (1108 chars)
      serialnumber => protected'1364-8152' (9 chars)
      doi => protected'10.1016/j.envsoft.2018.03.023' (29 chars)
      uid => protected16797 (integer)
      _localizedUid => protected16797 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected16797 (integer)modified
      pid => protected124 (integer)
   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=9167, pid=124)
      originalId => protected9167 (integer)
      authors => protected'Reichert, P.; Langhans, S. D.; Lienert, J.; Schuwirth,&n
         bsp;N.' (82 chars)
      title => protected'The conceptual foundation of environmental decision support' (59 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2015 (integer)
      volume => protected154 (integer)
      issue => protected'' (0 chars)
      startpage => protected'316' (3 chars)
      otherpage => protected'332' (3 chars)
      categories => protected'multi-criteria decision analysis; environmental management; societal decisio
         n support; stakeholder involvement; intersubjective probabilities; multi-att
         ribute value theory; multi-attribute utility theory; uncertainty; river mana
         gement' (234 chars)
      description => protected'Environmental decision support intends to use the best available scientific 
         knowledge to help decision makers find and evaluate management alternatives.
          The goal of this process is to achieve the best fulfillment of societal obj
         ectives. This requires a careful analysis of (i) how scientific knowledge ca
         n be represented and quantified, (ii) how societal preferences can be descri
         bed and elicited, and (iii) how these concepts can best be used to support c
         ommunication with authorities, politicians, and the public in environmental 
         management. The goal of this paper is to discuss key requirements for a conc
         eptual framework to address these issues and to suggest how these can best b
         e met. We argue that a combination of probability theory and scenario planni
         ng with multi-attribute utility theory fulfills these requirements, and disc
         uss adaptations and extensions of these theories to improve their applicatio
         n for supporting environmental decision making. With respect to (i) we sugge
         st the use of intersubjective probabilities, if required extended to impreci
         se probabilities, to describe the current state of scientific knowledge. To 
         address (ii), we emphasize the importance of value functions, in addition to
          utilities, to support decisions under risk. We discuss the need for testing
          "non-standard" value aggregation techniques, the usefulness of flexibility 
         of value functions regarding attribute data availability, the elicitation of
          value functions for sub-objectives from experts, and the consideration of u
         ncertainty in value and utility elicitation. With respect to (iii), we outli
         ne a well-structured procedure for transparent environmental decision suppor
         t that is based on a clear separation of scientific prediction and societal 
         valuation. We illustrate aspects of the suggested methodology by its applica
         tion to river management in general and with a small, didactical case study 
         on spatial river rehabilitation prioritization.' (1947 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2015.01.053' (29 chars)
      uid => protected9167 (integer)
      _localizedUid => protected9167 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected9167 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7783, pid=124)
      originalId => protected7783 (integer)
      authors => protected'Scholten, L.; Schuwirth, N.; Reichert, P.; Lienert, J.' (74 chars)
      title => protected'Tackling uncertainty in multi-criteria decision analysis – an application 
         to water supply infrastructure planning' (115 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2015 (integer)
      volume => protected242 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'243' (3 chars)
      otherpage => protected'260' (3 chars)
      categories => protected'decision analysis; uncertainty modeling and global sensitivity analysis; mul
         ti-attribute utility theory; preference elicitation; water infrastructure pl
         anning' (158 chars)
      description => protected'We present a novel approach for practically tackling uncertainty in preferen
         ce elicitation and predictive modeling to support complex multi-criteria dec
         isions based on multi-attribute utility theory (MAUT). A simplified two-step
          elicitation procedure consisting of an online survey and face-to-face inter
         views is followed by an extensive uncertainty analysis. This covers uncertai
         nty of the preference components (marginal value and utility functions, hier
         archical aggregation functions, aggregation parameters) and the attribute pr
         edictions. Context uncertainties about future socio-economic developments ar
         e captured by combining MAUT with scenario planning. We perform a global sen
         sitivity analysis (GSA) to assess the contribution of single uncertain prefe
         rence parameters to the uncertainty of the ranking of alternatives. This is 
         exemplified for sustainable water infrastructure planning in a case study in
          Switzerland. We compare 11 water supply alternatives ranging from conventio
         nal water supply systems to novel technologies and management schemes regard
         ing 44 objectives. Their performance is assessed for four future scenarios a
         nd 10 stakeholders from different backgrounds and decision-making levels. De
         spite uncertainty in the ranking of alternatives, potential best and worst s
         olutions could be identified. We demonstrate that a priori assumptions such 
         as linear value functions or additive aggregation can result in misleading r
         ecommendations, unless thoroughly checked during preference elicitation and 
         modeling. We suggest GSA to focus elicitation on most sensitive preference p
         arameters. Our GSA results indicate that output uncertainty can be considera
         bly reduced by additional elicitation of few parameters, e.g. the overall ri
         sk attitude and aggregation functions at higher-level nodes. Here, rough val
         ue function elicitation was sufficient, thereby substantially reducing elici
         tation time.' (1912 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2014.09.044' (26 chars)
      uid => protected7783 (integer)
      _localizedUid => protected7783 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7783 (integer)modified
      pid => protected124 (integer)
   5 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7276, pid=124)
      originalId => protected7276 (integer)
      authors => protected'Langhans, S. D.; Lienert, J.; Schuwirth, N.; Reichert,&n
         bsp;P.' (82 chars)
      title => protected'How to make river assessments comparable: a demonstration for hydromorpholog
         y' (77 chars)
      journal => protected'Ecological Indicators' (21 chars)
      year => protected2013 (integer)
      volume => protected32 (integer)
      issue => protected'' (0 chars)
      startpage => protected'264' (3 chars)
      otherpage => protected'275' (3 chars)
      categories => protected'ecological assessment; comparability; intercalibration; bioassessment; river
          management; multi-criteria decision analysis' (121 chars)
      description => protected'River monitoring and assessment programs are important tools to quantify the
          condition of river ecosystems, identify deficits, and provide preliminary i
         ndication of how to improve them. But, they are limited in delivering compar
         able assessment results across national or transnational borders, aggregatin
         g site-specific assessments into broader scale assessments, and supporting r
         iver management decisions. We present a multi-criteria decision analysis app
         roach for improving the comparability of ecological assessment methods of di
         fferent origin and for combining these assessments into a joint procedure. T
         he approach consists of seven consecutive steps. The most central ones conce
         rn the hierarchical allocation of ecological assessment endpoints, and the h
         armonization of the scoring procedure of attributes (ecological indicators o
         r assets) to a common scale from 0 to 1. We demonstrate the approach integra
         ting three programs developed to assess the hydromorphological river conditi
         on in Switzerland, Germany, and the USA. In our example, the integrated asse
         ssment produces comparable results for the whole range from natural to impac
         ted rivers, while data continuity with original assessments was maintained. 
         Our approach provides a common assessment standard due to the definition of 
         the minimum amount of information required, is flexible regarding measuremen
         t and assessment endpoints, and bridges the gap between river quality assess
         ment and management.' (1464 chars)
      serialnumber => protected'1470-160X' (9 chars)
      doi => protected'10.1016/j.ecolind.2013.03.027' (29 chars)
      uid => protected7276 (integer)
      _localizedUid => protected7276 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7276 (integer)modified
      pid => protected124 (integer)
   6 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=6914, pid=124)
      originalId => protected6914 (integer)
      authors => protected'Schuwirth, N.; Reichert, P.; Lienert, J.' (55 chars)
      title => protected'Methodological aspects of multi-criteria decision analysis for policy suppor
         t: a case study on pharmaceutical removal from hospital wastewater' (142 chars)
      journal => protected'European Journal of Operational Research' (40 chars)
      year => protected2012 (integer)
      volume => protected220 (integer)
      issue => protected'2' (1 chars)
      startpage => protected'472' (3 chars)
      otherpage => protected'483' (3 chars)
      categories => protected'decision analysis; multi-attribute utility theory; elicitation; uncertainty 
         modeling; sensitivity analysis; source control' (122 chars)
      description => protected'Decision making in public and political contexts can be complex. Multi-attri
         bute value/utility theory (MAVT/MAUT) can support such decision processes by
          providing a transparent framework that helps focusing on objectives and cor
         responding degrees of achievement by different alternatives.<BR/> Eliciting 
         preferences with MAVT/MAUT can be time consuming and cognitively challenging
         . Therefore, it might not be feasible to elicit full preference functions wi
         th standard methods. To deal with this problem, we suggest a simplified elic
         itation procedure that combines (a) the elicitation of values instead of uti
         lities at lower-levels of the objectives hierarchy and conversion to utiliti
         es to consider risk attitudes at appropriate higher levels, (b) the use of l
         inear value functions for sub-objectives with minor effects on the overall v
         alue, and (c) sensitivity analyses to check the robustness of results regard
         ing these assumptions and the elicitation process in general. Furthermore, w
         e developed a modified Swing procedure ("Reversed Swing2) to elicit weights 
         for cases in which the hypothetical alternatives of the conventional Swing t
         echnique are unrealistic.<BR/> We applied this procedure to a case study on 
         pharmaceutical removal from wastewater of a typical Swiss hospital involving
          13 stakeholders. Aim of the interdisciplinary research group was to assess 
         a large bundle of combinations of novel point source measures. The ultimate 
         policy objective was to develop consensus solutions which are acceptable to 
         all important stakeholder groups. We hope that the suggested simplified proc
         edure stimulates the application of transparent and conceptually satisfying 
         decision support methods in environmental management, which is needed to jus
         tify policy decisions to the public.' (1784 chars)
      serialnumber => protected'0377-2217' (9 chars)
      doi => protected'10.1016/j.ejor.2012.01.055' (26 chars)
      uid => protected6914 (integer)
      _localizedUid => protected6914 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected6914 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '33194,32121,25970,25775,25076,21892,18211,14023,11729,7643,7503,6652,5698' (73 chars)
   libraryUrl => '' (0 chars)

array(13 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=33194, pid=124)
      originalId => protected33194 (integer)
      authors => protected'Beutler, P.; Larsen, T. A.; Maurer, M.; Staufer, P.
         ; Lienert, J.' (94 chars)
      title => protected'A participatory multi-criteria decision analysis framework reveals transitio
         n potential towards non-grid wastewater management' (126 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2024 (integer)
      volume => protected367 (integer)
      issue => protected'' (0 chars)
      startpage => protected'121962 (15 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'decentralized wastewater infrastructure; mcda; participatory decision analys
         is; stakeholder preferences; uncertainty; wicked problems' (133 chars)
      description => protected'Many public environmental decisions are wicked problems due to high complexi
         ty and uncertainty. We test a participatory value-based framework based on m
         ulti-criteria decision analysis (MCDA) to tackle such problems. Our framewor
         k addresses two important gaps identified in reviews of MCDA applications to
          environmental problems: including stakeholders and treating uncertainty. We
          applied our framework in two complex real-world cases concerning a paradigm
          shift in the wastewater sector; the transition from centralized wastewater 
         systems to decentralized non-grid systems. Non-grid systems may solve some p
         roblems of centralized systems by reducing costs, increasing flexibility, an
         d addressing growing demands on environmental issues, especially in rural ar
         eas. But non-grid systems have rarely been implemented in OECD countries, be
         cause it is unclear whether a transition is recommendable, and whether stake
         holders would accept this shift. This problem allows addressing several fund
         amental research questions. As theoretical contribution, we found that stake
         holder participation in MCDA is necessary, because different preferences of 
         stakeholders can lead to different best-performing options in the assessment
         s. Compared to the typical integrated assessment (IA) approach that excludes
          stakeholders' preferences, the MCDA process led to clearer outcomes. Result
         s indicate that including the uncertainty of predicted consequences of optio
         ns with Monte Carlo simulation helped discriminate between options and ident
         ify best-performing options. Challenging the uncertainty of elicited stakeho
         lder preferences with sensitivity analyses, we found that best-performing op
         tions were especially sensitive to the MCDA aggregation model. Despite the h
         igh uncertainty, it was possible to suggest robust consensus options that wo
         uld perform reasonably well for all stakeholders. As practical contribution,
          results indicated that a transition from the centralized to decentralized n
         on-grid systems seems fe...' (2629 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2024.121962' (29 chars)
      uid => protected33194 (integer)
      _localizedUid => protected33194 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected33194 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=32121, pid=124)
      originalId => protected32121 (integer)
      authors => protected'Maurer, B.; Lienert, J.; Cook, L. M.' (56 chars)
      title => protected'Comparing PV-green and PV-cool roofs to diverse rooftop options using decisi
         on analysis' (87 chars)
      journal => protected'Building and Environment' (24 chars)
      year => protected2023 (integer)
      volume => protected245 (integer)
      issue => protected'' (0 chars)
      startpage => protected'110922 (15 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'multicriteria decision analysis; multi-attribute value theory (MAVT); green 
         roofs; reflective roofs; solar panels; uncertainty analysis' (135 chars)
      description => protected'Flat roofs can employ a range of technologies to improve sustainability, suc
         h as photovoltaic (PV) panels, green roofs, cool roofs, or a combination of 
         these options. Yet, weighing the benefits, costs, and performance of differe
         nt roofing technologies is complex, especially when different stakeholders a
         re involved. Decision analysis techniques, such as multi-criteria decision a
         nalysis (MCDA), can be used to systematically evaluate a diverse range of ro
         oftop options to assess trade-offs in a quantitative way and avoid decision 
         biases. This study offers a holistic comparison of different roof types, con
         sidering stakeholder preferences and uncertainty using MCDA. Ten flat roof o
         ptions are compared, including black, gravel, cool, extensive green and semi
         -intensive green roofs, each with or without a rooftop PV installation, for 
         nine objectives and three hypothetical stakeholder profiles. Performance is 
         evaluated using building energy simulation, hydrologic modeling, and literat
         ure research. Uncertainty analyses are used to evaluate the effects of model
          assumptions on the MCDA results. For assumed preferences of an urban planne
         r and environmentalist, semi-intensive green roofs with integrated PV instal
         lation are the best performing option; however, for a hypothetical building 
         owner more concerned with costs, a gravel roof with PV ranks best. Uncertain
         ty plays a role in the results, in particular, the uncertainty of the predic
         ted outcome of options for the building owner, which can change the top-rank
         ing options considerably. The uncertainty analyses are useful to identify co
         nsensus options over all three stakeholder types. Despite considerable uncer
         tainty, extensive and semi-intensive green roofs with PV are recommended as 
         relatively robust best-performing options.' (1790 chars)
      serialnumber => protected'0360-1323' (9 chars)
      doi => protected'10.1016/j.buildenv.2023.110922' (30 chars)
      uid => protected32121 (integer)
      _localizedUid => protected32121 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected32121 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=25970, pid=124)
      originalId => protected25970 (integer)
      authors => protected'Lienert, J.; Andersson, J.; Hofmann, D.; Silva Pinto, F.
         ; Kuller, M.' (93 chars)
      title => protected'How to co-design a flood early warning system (FEWS) for West Africa' (68 chars)
      journal => protected'Water Science Policy' (20 chars)
      year => protected2022 (integer)
      volume => protected0 (integer)
      issue => protected'' (0 chars)
      startpage => protected'(4 pp.)' (7 chars)
      otherpage => protected'' (0 chars)
      categories => protected'' (0 chars)
      description => protected'' (0 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.53014/CBJJ5560' (17 chars)
      uid => protected25970 (integer)
      _localizedUid => protected25970 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected25970 (integer)modified
      pid => protected124 (integer)
   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=25775, pid=124)
      originalId => protected25775 (integer)
      authors => protected'Aubert, A. H.; Schmid, S.; Beutler, P.; Lienert, J.' (76 chars)
      title => protected'Innovative online survey about sustainable wastewater management: what young
          Swiss citizens know and value' (106 chars)
      journal => protected'Environmental Science and Policy' (32 chars)
      year => protected2022 (integer)
      volume => protected137 (integer)
      issue => protected'' (0 chars)
      startpage => protected'323' (3 chars)
      otherpage => protected'335' (3 chars)
      categories => protected'environmental decision; citizen participation; Multi-Criteria Decision Analy
         sis (MCDA); policy analytics; learning; preference construction' (139 chars)
      description => protected'Investigating wastewater management matters: in many OECD countries, the con
         ventional centralized system is reaching its limits. Alternative decentraliz
         ed options exist. Some directly affect citizens with in-house wastewater tre
         atment. Involving citizens in decision processes would legitimate the outcom
         e and facilitate implementation. However, citizen participation is challengi
         ng because they are numerous, and need to learn about the topic and construc
         t their opinion. To include citizens, we propose an innovative online survey
          based on Multi-Attribute Value Theory (MAVT). Citizens receive value-focuse
         d information, and can communicate their preferences, captured as weights as
         signed to objectives. We collected quantitative and qualitative data, and el
         icited preferences from 184 young Swiss citizens, who will have to live with
          the decision outcome. In addition to reporting on insights for wastewater m
         anagement, we assessed our survey, i.e. whether respondents learnt about the
          topic, constructed preferences, and understood the requirement to think in 
         terms of objectives. Water quality and health protection mattered the most. 
         The objectives directly concerning the respondents (time demand, attractiven
         ess) were the least important. The best-ranked option in the subsequent Mult
         i-Criteria Decision Analysis was a decentralized source separating system wi
         th dry toilets. Respondents were unaware that such decentralized options exi
         st, indicating that learning about the topic occurred. Preferences were most
         ly newly constructed from no opinion, or pre-existing ones were reinforced. 
         Our value-focused online survey helped citizens to understand the complex de
         cision and construct their preferences. Swiss decision-makers, and beyond, s
         hould not be scared of a paradigm shift in wastewater management: the young 
         generation seems ready to decentralize.' (1863 chars)
      serialnumber => protected'1462-9011' (9 chars)
      doi => protected'10.1016/j.envsci.2022.08.018' (28 chars)
      uid => protected25775 (integer)
      _localizedUid => protected25775 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected25775 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=25076, pid=124)
      originalId => protected25076 (integer)
      authors => protected'Lienert, J.; Andersson, J. C. M.; Hofmann, D.; Silv
         a Pinto, F.; Kuller, M.' (109 chars)
      title => protected'The role of multi-criteria decision analysis in a transdisciplinary process:
          co-developing a flood forecasting system in western Africa' (135 chars)
      journal => protected'Hydrology and Earth System Sciences' (35 chars)
      year => protected2022 (integer)
      volume => protected26 (integer)
      issue => protected'11' (2 chars)
      startpage => protected'2899' (4 chars)
      otherpage => protected'2922' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Climate change is projected to increase flood risks in western Africa. In th
         e FANFAR project, a pre-operational flood early warning system (FEWS) for we
         stern Africa was co-designed in workshops with 50–60 stakeholders from 17 
         countries, adopting multi-criteria decision analysis (MCDA). We aimed at (i)
          designing a FEWS with western African stakeholders using MCDA and (ii) eval
         uating participatory MCDA as a transdisciplinary process. To achieve the fir
         st aim (i), we used MCDA methods for problem structuring and preference elic
         itation in workshops. Problem structuring included stakeholder analysis, cre
         ating 10 objectives to be achieved by the FANFAR FEWS and designing 11 possi
         ble FEWS configurations. Experts predicted FEWS configuration performance, w
         hich we integrated with stakeholder preferences. We tested MCDA results in s
         ensitivity analyses. Three FEWSs showed good performance, despite uncertaint
         y, and were robust across different preferences. For stakeholders it was mos
         t important that the FEWS produces accurate, clear, timely, and accessible f
         lood risk information. To achieve the second aim (ii), we clustered common c
         haracteristics of collaborative governance frameworks from the sustainabilit
         y science and transdisciplinary literature. Our framework emphasizes issues 
         crucial to the earth systems sciences, such as uncertainty and integrating i
         nterdisciplinary knowledge. MCDA can address both well. Other strengths of M
         CDA are co-producing knowledge with stakeholders and providing a consistent 
         methodology with unambiguous, shared results. Participatory MCDA including p
         roblem structuring can contribute to co-designing a project but does not ach
         ieve later phases of transdisciplinary processes well, such as co-disseminat
         ing and evaluating results. We encourage colleagues to use MCDA and the prop
         osed framework for evaluating transdisciplinary hydrology research that enga
         ges with stakeholders and society.' (1934 chars)
      serialnumber => protected'1027-5606' (9 chars)
      doi => protected'10.5194/hess-26-2899-2022' (25 chars)
      uid => protected25076 (integer)
      _localizedUid => protected25076 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected25076 (integer)modified
      pid => protected124 (integer)
   5 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=21892, pid=124)
      originalId => protected21892 (integer)
      authors => protected'Beutler, P.; Larsen, T. A.; Maurer, M.; Staufer, P.
         ; Lienert, J.' (94 chars)
      title => protected'Potenzial dezentraler Abwassersysteme' (37 chars)
      journal => protected'Aqua & Gas' (10 chars)
      year => protected2021 (integer)
      volume => protected101 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'66' (2 chars)
      otherpage => protected'75' (2 chars)
      categories => protected'' (0 chars)
      description => protected'Werterhalt und Bewirtschaftung von Kanalisation und ARA können kleine Gemei
         nden vor Herausforderungen stellen. Es gibt Alternativen, aber lohnen sich d
         iese? Zwei Gemeinden wurden bei der strategischen Planung für ihr neues Abw
         assersystem unterstützt. Viele Ziele wurden als entscheidungsrelevant ident
         ifiziert, insbesondere Umweltschutzziele. Es zeigte sich, dass dezentrale Te
         chnologien mit Stoffstromseparierung die Anforderungen häufig besser erfül
         len können als konventionelle Abwassersysteme.' (503 chars)
      serialnumber => protected'2235-5197' (9 chars)
      doi => protected'' (0 chars)
      uid => protected21892 (integer)
      _localizedUid => protected21892 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected21892 (integer)modified
      pid => protected124 (integer)
   6 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=18211, pid=124)
      originalId => protected18211 (integer)
      authors => protected'Harris-Lovett, S.; Lienert, J.; Sedlak, D.' (57 chars)
      title => protected'A mixed-methods approach to strategic planning for multi-benefit regional wa
         ter infrastructure' (94 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2019 (integer)
      volume => protected233 (integer)
      issue => protected'' (0 chars)
      startpage => protected'218' (3 chars)
      otherpage => protected'237' (3 chars)
      categories => protected'multi-criteria decision analysis; regional environmental planning; nutrient 
         management; wastewater treatment; stakeholder analysis' (130 chars)
      description => protected'Finding regional solutions for water infrastructure and other environmental 
         management challenges requires coordination, communication, and a shared und
         erstanding among different stakeholders. To develop a more versatile and col
         laborative decision-making process for nutrient management in the San Franci
         sco Bay Area, we used a mixed-methods approach consisting of stakeholder ana
         lysis with cluster analysis, multi-criteria decision analysis (MCDA), and sc
         enario planning. These methods allowed us to identify agreements and disagre
         ements in stakeholder objectives and preferences, clarify ways in which diff
         erent options could meet the goals of diverse stakeholders, and elucidate ho
         w scientific uncertainty about technical performance and future conditions c
         ould affect management strategies. Results of the analysis indicate that sev
         eral non-conventional nutrient management options like constructed wetlands 
         and increased water recycling for irrigation met the goals of many stakehold
         ers under a variety of future scenarios. A comparison of MCDA results with a
          more traditional 'cost-efficiency' measure (i.e., optimizing for the lowest
          cost per mass of nutrients removed) revealed little correlation between the
          two methods for stakeholders who expressed a preference for co-benefits of 
         management options such as increased water supply and nutrient recovery for 
         fertilizer use. The method also allowed us to identify key areas of disagree
         ment (e.g., the relative importance of constructing infrastructure that woul
         d not be affected by sea level rise) that should find regulatory or professi
         onal consensus before advancing with decision-making. This mixed-methods app
         roach is time-consuming and requires specific expertise that is not always a
         vailable to stakeholders. The development of more efficient preference elici
         tation and interaction procedures would increase the likelihood that decisio
         n-makers would make the extra effort required to use this potentially powerf
         ul method. Nonetheless, ...' (2278 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2018.11.112' (29 chars)
      uid => protected18211 (integer)
      _localizedUid => protected18211 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected18211 (integer)modified
      pid => protected124 (integer)
   7 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=14023, pid=124)
      originalId => protected14023 (integer)
      authors => protected'Zheng, J.; Egger, C.; Lienert, J.' (48 chars)
      title => protected'A scenario-based MCDA framework for wastewater infrastructure planning under
          uncertainty' (88 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2016 (integer)
      volume => protected183 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'895' (3 chars)
      otherpage => protected'908' (3 chars)
      categories => protected'multi-criteria decision analysis; scenario planning; preference elicitation;
          uncertainty; sensitivity analysis' (110 chars)
      description => protected'Wastewater infrastructure management is increasingly important because of ur
         banization, environmental pollutants, aging infrastructures, and climate cha
         nge. We propose a scenario-based multi-criteria decision analysis (MCDA) fra
         mework to compare different infrastructure alternatives in terms of their su
         stainability. These range from the current centralized system to semi- and f
         ully decentralized options. Various sources of uncertainty are considered, i
         ncluding external socio-economic uncertainty captured by future scenarios, u
         ncertainty in predicting outcomes of alternatives, and incomplete preference
         s of stakeholders. Stochastic Multi-criteria Acceptability Analysis (SMAA) w
         ith Monte Carlo simulation is performed, and rank acceptability indices help
          identify robust alternatives. We propose step-wise local sensitivity analys
         is, which is useful for practitioners to effectively elicit preferences and 
         identify major sources of uncertainty. The approach is demonstrated in a Swi
         ss case study where ten stakeholders are involved throughout. Their preferen
         ces are quantitatively elicited by combining an online questionnaire with fa
         ce-to-face interviews. The trade-off questions reveal a high concern about e
         nvironmental and an unexpectedly low importance of economic criteria. This r
         esults in a surprisingly good ranking of high-tech decentralized wastewater 
         alternatives using urine source separation for most stakeholders in all scen
         arios. Combining scenario planning and MCDA proves useful, as the performanc
         e of wastewater infrastructure systems is indeed sensitive to socio-economic
          boundary conditions and the other sources of uncertainty. The proposed sens
         itivity analysis suggests that a simplified elicitation procedure is suffici
         ent in many cases. Elicitation of more information such as detailed marginal
          value functions should only follow if the sensitivity analysis finds this n
         ecessary. Moreover, the uncertainty of rankings can be considerably reduced 
         by better predictions of...' (2144 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2016.09.027' (29 chars)
      uid => protected14023 (integer)
      _localizedUid => protected14023 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected14023 (integer)modified
      pid => protected124 (integer)
   8 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=11729, pid=124)
      originalId => protected11729 (integer)
      authors => protected'Maurer, M.; Lienert, J.' (33 chars)
      title => protected'Wasserinfrastrukturen nachhaltig in eine unsichere Zukunft führen' (66 chars)
      journal => protected'Eawag News [dtsch. Ausg.]' (25 chars)
      year => protected2014 (integer)
      volume => protected0 (integer)
      issue => protected'2' (1 chars)
      startpage => protected'1' (1 chars)
      otherpage => protected'8' (1 chars)
      categories => protected'' (0 chars)
      description => protected'Die Wasserversorgung und Abwasserentsorgung sind Generationenbauwerke mit la
         nger Lebensdauer und entsprechend langen Planungshorizonten. Wie können wir
          ihre Leistungen nachhaltig in die Zukunft führen? Wie gehen wir mit den Un
         sicherheiten um? Wie beziehen wir die Nachhaltigkeit quantitativ in unsere P
         lanungsansätze ein? Im Rahmen des nationalen Forschungsprogramms 61 ging di
         e Eawag diesen Fragen nach.' (407 chars)
      serialnumber => protected'1420-3979' (9 chars)
      doi => protected'' (0 chars)
      uid => protected11729 (integer)
      _localizedUid => protected11729 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected11729 (integer)modified
      pid => protected124 (integer)
   9 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7643, pid=124)
      originalId => protected7643 (integer)
      authors => protected'Scholten, L.; Egger, C.; Zheng, J.; Lienert, J.' (67 chars)
      title => protected'Multikriterielle Entscheidungsanalyse. Neue Ansätze für langfristige Infra
         strukturplanung in der Wasserver- und -entsorgung' (125 chars)
      journal => protected'Aqua & Gas' (10 chars)
      year => protected2014 (integer)
      volume => protected94 (integer)
      issue => protected'5' (1 chars)
      startpage => protected'62' (2 chars)
      otherpage => protected'69' (2 chars)
      categories => protected'' (0 chars)
      description => protected'Im NFP-61-Forschungsprojekt «Langfristige Planung nachhaltiger Wasserinfras
         trukturen» der Eawag wurden für die Planung der Wasserver- und Abwasserent
         sorgung unterschiedliche Alternativen miteinander verglichen. Die multikrite
         rielle Entscheidungsanalyse berücksichtigt dabei die Präferenzen der Akteu
         re und die Szenarienanalyse testet die Robustheit der Alternativen gegenübe
         r unsicheren Zukunftsentwicklungen. Dieser neue Ansatz ergänzt die generell
         e Wasserversorgungsplanung (GWP) sowie die generelle Entwässerungsplanung (
         GEP) und bringt die Infrastrukturplanung auf eine nachhaltige Basis.' (600 chars)
      serialnumber => protected'2235-5197' (9 chars)
      doi => protected'' (0 chars)
      uid => protected7643 (integer)
      _localizedUid => protected7643 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7643 (integer)modified
      pid => protected124 (integer)
   10 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7503, pid=124)
      originalId => protected7503 (integer)
      authors => protected'Scholten, L.; Scheidegger, A.; Reichert, P.; Mauer, M.; 
         Lienert, J.' (92 chars)
      title => protected'Strategic rehabilitation planning of piped water networks using multi-criter
         ia decision analysis' (96 chars)
      journal => protected'Water Research' (14 chars)
      year => protected2014 (integer)
      volume => protected49 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'124' (3 chars)
      otherpage => protected'143' (3 chars)
      categories => protected'strategic water asset management; failure and rehabilitation modeling; water
          supply; multi-criteria decision analysis; decision support; scenario planni
         ng' (154 chars)
      description => protected'To overcome the difficulties of strategic asset management of water distribu
         tion networks, a pipe failure and a rehabilitation model are combined to pre
         dict the long term performance of rehabilitation strategies. Bayesian parame
         ter estimation is performed to calibrate the failure and replacement model b
         ased on a prior distribution inferred from three large water utilities in Sw
         itzerland. Multi criteria decision analysis (MCDA) and scenario planning bui
         ld the framework for evaluating 18 strategic rehabilitation alternatives und
         er future uncertainty. Outcomes for three fundamental objectives (low costs,
          high reliability, and high intergenerational equity) are assessed. Exploita
         tion of stochastic dominance concepts helps to identify twelve non dominated
          alternatives and local sensitivity analysis of stakeholder preferences is u
         sed to rank them under four scenarios. Strategies with annual replacement of
          1.5 2% of the network perform reasonably well under all scenarios. In contr
         ast, the commonly used reactive replacement is not recommendable unless cost
          is the only relevant objective. Exemplified for a small Swiss water utility
         , this approach can readily be adapted to support strategic asset management
          for any utility size and based on objectives and preferences that matter to
          the respective decision makers.' (1324 chars)
      serialnumber => protected'0043-1354' (9 chars)
      doi => protected'10.1016/j.watres.2013.11.017' (28 chars)
      uid => protected7503 (integer)
      _localizedUid => protected7503 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7503 (integer)modified
      pid => protected124 (integer)
   11 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=6652, pid=124)
      originalId => protected6652 (integer)
      authors => protected'Lienert, J.; Koller, M.; Konrad, J.; McArdell, C. S
         .; Schuwirth, N.' (97 chars)
      title => protected'Multiple-criteria decision analysis reveals high stakeholder preference to r
         emove pharmaceuticals from hospital wastewater' (122 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2011 (integer)
      volume => protected45 (integer)
      issue => protected'9' (1 chars)
      startpage => protected'3848' (4 chars)
      otherpage => protected'3857' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Point-source measures have been suggested to decrease pharmaceuticals in wat
         er bodies. We analyzed 68 and 50 alternatives, respectively, for a typical S
         wiss general and psychiatric hospital to decrease pharmaceutical discharge. 
         Technical alternatives included reverse osmosis, ozonation, and activated ca
         rbon; organizational alternatives included urine separation. To handle this 
         complex decision, we used Multiple-Criteria Decision Analysis (MCDA) and com
         bined expert predictions (e.g., costs, pharmaceutical mass flows, ecotoxicol
         ogical risk, pathogen removal) with subjective preference-valuations from 26
          stakeholders (authorities, hospital-internal actors, experts). The general 
         hospital contributed ca. 38% to the total pharmaceutical load at the wastewa
         ter treatment plant, the psychiatry contributed 5%. For the general hospital
         , alternatives removing all pharmaceuticals (especially reverse osmosis, or 
         vacuum-toilets and incineration), performed systematically better than the s
         tatus quo or urine separation, despite higher costs. They now require closer
          scrutiny. To remove X-ray contrast agents, introducing roadbags is promisin
         g. For the psychiatry with a lower pharmaceutical load, costs were more crit
         ical. Stakeholder feedback concerning MCDA was very positive, especially bec
         ause the results were robust across different stakeholder-types. Our MCDA re
         sults provide insight into an important water protection issue: implementing
          measures to decrease pharmaceuticals will likely meet acceptance. Hospital 
         point-sources merit consideration if the trade-off between costs and pharmac
         eutical removal is reasonable.' (1626 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/es1031294' (17 chars)
      uid => protected6652 (integer)
      _localizedUid => protected6652 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected6652 (integer)modified
      pid => protected124 (integer)
   12 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=5698, pid=124)
      originalId => protected5698 (integer)
      authors => protected'Borsuk, M. E.; Maurer, M.; Lienert, J.; Larsen, T.&
         nbsp;A.' (83 chars)
      title => protected'Charting a path for innovative toilet technology using multicriteria decisio
         n analysis' (86 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2008 (integer)
      volume => protected42 (integer)
      issue => protected'6' (1 chars)
      startpage => protected'1855' (4 chars)
      otherpage => protected'1862' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Practical and theoretically sound methods for analyzing innovative environme
         ntal technologies are needed to inform public and private decisions regardin
         g research and development, risk management, and stakeholder communication. 
         By integrating scientific assessments with a characterization of values, mul
         ticriteria decision analysis (MCDA) supports the ranking of alternative tech
         nology pathways on the basis of technical, financial, and social concerns. W
         e applied MCDA to evaluate the use of NoMix urine separating toilets for man
         aging environmental risk and postponing expensive upgrades to a large wastew
         ater treatment plant near Zürich, Switzerland. Results indicate that, given
          current priorities, no single, fixed course of action (including the status
          quo) will be desirable to all stakeholders over the considered time horizon
         . However, a path forward is suggested that is not significantly disadvantag
         eous to any stakeholder now and leaves open future options, allowing society
          to achieve overall greater benefits if priorities change, new environmental
          risks are revealed, or technology improves. While our analysis focuses on a
          particular catchment in Switzerland, many communities worldwide are faced w
         ith an aging and inefficient wastewater treatment infrastructure while also 
         experiencing growth and development. Our framework can help these communitie
         s balance the conflicting objectives of diverse stakeholders and gain insigh
         t into the role that urine separation can play in transitioning to a more co
         mprehensive and sustainable urban water management system.' (1578 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/es702184p' (17 chars)
      uid => protected5698 (integer)
      _localizedUid => protected5698 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected5698 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '23225,22124,7548,8973,6473' (26 chars)
   libraryUrl => '' (0 chars)

array(5 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23225, pid=124)
      originalId => protected23225 (integer)
      authors => protected'Kuller, M.; Schoenholzer, K.; Lienert, J.' (56 chars)
      title => protected'Creating effective flood warnings: a framework from a critical review' (69 chars)
      journal => protected'Journal of Hydrology' (20 chars)
      year => protected2021 (integer)
      volume => protected602 (integer)
      issue => protected'' (0 chars)
      startpage => protected'126708 (16 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'Flood Early Warning System (FEWS); warning; natural hazard; risk communicati
         on; disaster; emergency management' (110 chars)
      description => protected'As climate change is intensifying the frequency and severity of floods aroun
         d the globe, adaptation is increasingly vital. Besides structural measures t
         o mitigate flood risk, non-structural measures are known to be highly effect
         ive and low-cost. Such non-structural measures include Flood Early Warning S
         ystems (FEWS). Effective warning creation and dissemination are crucial to s
         uccessful FEWS. Despite extensive bodies of research that cross the boundari
         es between disciplines and application domains, systematic understanding of 
         the detailed aspects contributing to the effectiveness of flood warnings is 
         lacking. We systematically review the state-of-the-art in risk perception an
         d warning communication present in academic (and grey) literature for FEWS. 
         We focus on the elements of risk warnings specifically, rather than reviewin
         g the topic of risk communication in general. We start with exploring how pe
         rsonal attributes affect individual risk perception related to flood warning
         s. We then deconstruct flood warnings into three basic components: content, 
         format and dissemination channel. Most importantly, we found 21 individual e
         lements (options) for these components, each associated with varying levels 
         of support for their effectiveness in literature. Important caveats were ide
         ntified, such as a lack of research into the speech format and SMS channel. 
         We then describe and visualise the warning creation process, providing a fra
         mework for guidance. Accelerating technological advancement necessitates con
         tinued research into the effectiveness of novel formats and channels, render
         ing the currently most widely supported and researched elements increasingly
          obsolete. Further research is needed to explore the complex interplay betwe
         en elements, i.e., how do different combinations impact effectiveness? Final
         ly, little is known about the transferability of our findings to Africa, Asi
         a and South America, as industrialised countries dominate the research. We h
         ope our findings will co...' (2098 chars)
      serialnumber => protected'0022-1694' (9 chars)
      doi => protected'10.1016/j.jhydrol.2021.126708' (29 chars)
      uid => protected23225 (integer)
      _localizedUid => protected23225 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected23225 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=22124, pid=124)
      originalId => protected22124 (integer)
      authors => protected'Schmid, S.; Vetschera, R.; Lienert, J.' (53 chars)
      title => protected'Testing fairness principles for public environmental infrastructure decision
         s' (77 chars)
      journal => protected'Group Decision and Negotiation' (30 chars)
      year => protected2021 (integer)
      volume => protected30 (integer)
      issue => protected'' (0 chars)
      startpage => protected'611' (3 chars)
      otherpage => protected'640' (3 chars)
      categories => protected'distributive justice; environmental policy; influence factors; population su
         rvey; procedural justice; public infrastructure' (123 chars)
      description => protected'Public infrastructure decisions affect many stakeholders with various benefi
         ts and costs. For public decisions, it is crucial that decision-making proce
         sses and outcomes are fair. Fairness concepts have rarely been explored in p
         ublic infrastructure planning. We close this gap for a global issue of growi
         ng importance: replacing sewer-based, centralized by decentralized wastewate
         r systems. We empirically study fairness principles in this policy-relevant 
         context, and identify possible influencing factors in a representative onlin
         e survey of 472 Swiss German residents. In a transition phase, innovative, d
         ecentralized pilot wastewater systems are installed in households. We design
         ed two vignettes for this context to test the adhesion to principles of dist
         ributive justice—equality, equity, and need—at individual and community 
         levels. A third vignette tests procedural justice with increasing fulfilment
          of fair process criteria. The results confirm our hypotheses: equity is per
         ceived as fairer than equality at individual and collective levels. Contrary
          to expectations and literature, need is perceived as even fairer than equit
         y. Procedural justice results confirm literature, e.g., the majority (92%) o
         f respondents deems a policy fair that includes them in decision-making. Onl
         y few demographic and explanatory factors are significantly correlated with 
         respondents' fairness perceptions. Although unexpected, this is positive, im
         plying that introducing decentralized wastewater technology can be designed 
         for the entire population independent of characteristics of individuals. Gen
         erally, our results confirm literature: fairness perceptions depend on the c
         ircumstances. Hence, they should be elicited in the exact application contex
         t to be able to enter negotiation processes and provide concrete advice to d
         ecision makers.' (1839 chars)
      serialnumber => protected'0926-2644' (9 chars)
      doi => protected'10.1007/s10726-021-09725-2' (26 chars)
      uid => protected22124 (integer)
      _localizedUid => protected22124 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected22124 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7548, pid=124)
      originalId => protected7548 (integer)
      authors => protected'Veronesi, M.; Chawla, F.; Maurer, M.; Lienert, J.' (69 chars)
      title => protected'Climate change and the willingness to pay to reduce ecological and health ri
         sks from wastewater flooding in urban centers and the environment' (141 chars)
      journal => protected'Ecological Economics' (20 chars)
      year => protected2014 (integer)
      volume => protected98 (integer)
      issue => protected'' (0 chars)
      startpage => protected'1' (1 chars)
      otherpage => protected'10' (2 chars)
      categories => protected'choice experiment; climate change; combined sewer overflows; ecological risk
         ; health risk; willingness to pay' (109 chars)
      description => protected'Climate change scenarios predict an increase of extreme rain events, which w
         ill increase the risk of wastewater flooding and of missing legal water qual
         ity targets. This study elicits the willingness to pay to reduce ecological 
         and health risks from combined sewer overflows (CSOs) in rivers and lakes, a
         nd wastewater flooding of residential and commercial zones under the uncerta
         inty of climate change. We implement a discrete choice experiment on a large
          representative sample of the Swiss population. We find that about 71% of th
         e respondents are willing to pay a higher annual local tax to reduce the ris
         k of CSOs in rivers and lakes. Swiss households strongly value the protectio
         n of water bodies, and mostly, the avoidance of high ecological risks and he
         alth risks for children related to CSOs in rivers and lakes. Our findings al
         so show that climate change perception has a significant effect on the willi
         ngness to pay to reduce these risks. These results are important to support 
         policy makers' decisions on how to deal with emerging risks of climate chang
         e in the water sector and where to set priorities.' (1114 chars)
      serialnumber => protected'0921-8009' (9 chars)
      doi => protected'10.1016/j.ecolecon.2013.12.005' (30 chars)
      uid => protected7548 (integer)
      _localizedUid => protected7548 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected7548 (integer)modified
      pid => protected124 (integer)
   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=8973, pid=124)
      originalId => protected8973 (integer)
      authors => protected'Renner, R.; Schneider, F.; Hohenwallner, D.; Kopeinig, C
         .; Kruse, S.; Lienert, J.; Link, S.; Muhar, S.' (142 chars)
      title => protected'Meeting the challenges of transdisciplinary knowledge production for sustain
         able water governance' (97 chars)
      journal => protected'Mountain Research and Development' (33 chars)
      year => protected2013 (integer)
      volume => protected33 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'234' (3 chars)
      otherpage => protected'247' (3 chars)
      categories => protected'water governance; transdisciplinary knowledge production; water resource man
         agement; stakeholder integration; science-practice interface; Austria; Switz
         erland' (158 chars)
      description => protected'Increasing pressure on mountain water resources is making it necessary to ad
         dress water governance issues in a transdisciplinary way. This entails drawi
         ng on different disciplinary perspectives, different types of knowledge, and
          different interests to answer complex governance questions. This study iden
         tifies strategies for addressing specific challenges to transdisciplinary kn
         owledge production aiming at sustainable and reflective water governance. Th
         e study draws on the experiences of 5 large transdisciplinary water governan
         ce research projects conducted in Austria and Switzerland (Alp-Water-Scarce,
          MontanAqua, Drought-CH, Sustainable Water Infrastructure Planning, and an i
         ntegrative river management project in the Kamp Valley). Experiences were di
         scussed and systematically analyzed in a workshop and subsequent interviews.
          These discussions identified 4 important challenges to interactions between
          scientists and stakeholders—ensuring stakeholder legitimacy, encouraging 
         participation, managing expectations, and preventing misuse of data and rese
         arch results—and explored strategies used by the projects to meet them. St
         rategies ranged from key points to be considered in stakeholder selection to
          measures that enhance trustful relationships and create commitment.' (1284 chars)
      serialnumber => protected'0276-4741' (9 chars)
      doi => protected'10.1659/MRD-JOURNAL-D-13-00002.1' (32 chars)
      uid => protected8973 (integer)
      _localizedUid => protected8973 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected8973 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=6473, pid=124)
      originalId => protected6473 (integer)
      authors => protected'Larsen, T. A.; Maurer, M.; Eggen, R. I. L.; Pr
         onk, W.; Lienert, J.' (106 chars)
      title => protected'Decision support in urban water management based on generic scenarios: the e
         xample of NoMix technology' (102 chars)
      journal => protected'Journal of Environmental Management' (35 chars)
      year => protected2010 (integer)
      volume => protected91 (integer)
      issue => protected'12' (2 chars)
      startpage => protected'2676' (4 chars)
      otherpage => protected'2687' (4 chars)
      categories => protected'wastewater; sustainability; urine; source separation; NoMix technology; STEE
         PLED' (80 chars)
      description => protected'Urine source separation (NoMix technology) followed by processing the concen
         trated nutrient solution has the potential to become a cost-efficient altern
         ative to conventional end-of-pipe nutrient elimination. A choice of processi
         ng technologies can only be made for specific scenarios, and there is curren
         tly no methodology for analyzing generic situations. In setting up a formali
         zed decision-support methodology (based on STEEPLED analysis), we discuss ho
         w to create such generic scenarios, how to couple them with process engineer
         ing objectives, how to define the technology requirements, and finally how t
         o produce a realistic subset of technology alternatives. The methodology is 
         tested in five real scenarios. We also touch on the criteria for a final cho
         ice of technology taking into account large uncertainties about the performa
         nce of real technologies. We conclude that technology development is one of 
         the most important requirements for implementing urine source separation in 
         practice. There is an urgent need to develop cost-efficient processing techn
         ologies that satisfy the requirements of stakeholders.' (1118 chars)
      serialnumber => protected'0301-4797' (9 chars)
      doi => protected'10.1016/j.jenvman.2010.07.032' (29 chars)
      uid => protected6473 (integer)
      _localizedUid => protected6473 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected6473 (integer)modified
      pid => protected124 (integer)