Model use in sustainability policy making: An experimental study
We examine whether decision makers who use a system dynamics model more readily create policies whose outcomes match their stated priorities or are on the Pareto Frontier of achieved outcomes, and whether model users are more likely to change their priorities. Comparing model use with other decision...
Gespeichert in:
Veröffentlicht in: | Environmental modelling & software : with environment data news 2017-12, Vol.98, p.54-62 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 62 |
---|---|
container_issue | |
container_start_page | 54 |
container_title | Environmental modelling & software : with environment data news |
container_volume | 98 |
creator | Czaika, Ellen Selin, Noelle E. |
description | We examine whether decision makers who use a system dynamics model more readily create policies whose outcomes match their stated priorities or are on the Pareto Frontier of achieved outcomes, and whether model users are more likely to change their priorities. Comparing model use with other decision tools, we address these questions in a role-play simulation (serious game) experiment in which participants make multi-dimensional policy recommendations to address environmental, economic, and social equity dimensions of sustainability. Participants are randomly assigned to use one of four decision support tools: (1) actively using the model or passively being briefed. The briefings cover: (2) the insights of the model; (3) general, relevant information; or (4) irrelevant information (control). We find that model-users, group (1), discovered key insights about win-win opportunities—over-performing their priorities—and most readily created policies on the Pareto Frontier of achieved outcomes. Groups (2) and (3) best matched their policy outcomes to their priorities, missing the win-win.
•Experimental study comparing model use with use of other decision support tools a busy policy maker might employ.•73% of model users found a win-win in the policy trade space; only 7%, 13%, and 0% of users of the other DISTs did.•Model users most readily, of the experimental categories, created policies on the Pareto Frontier of achieved outcomes.•Decision makers who heard relevant presentations readily created policies that matched their stated priorities. |
doi_str_mv | 10.1016/j.envsoft.2017.09.001 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2043336011</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1364815217301585</els_id><sourcerecordid>2043336011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-6db97e00da6a718f0f870ab4111f29d3def0ac80ba2d47cb8e42c958e7bca3cd3</originalsourceid><addsrcrecordid>eNqFkM1OwzAQhC0EEqXwCEiROCes7SROuEBV8ScVcYGz5dgb5JA6IU4q8va4au-cdg8zszsfIdcUEgo0v20SdDvf1WPCgIoEygSAnpAFLQSPc8Hy07DzPI0LmrFzcuF9A0GRsXRBHt46g200eYysi_zkR2Wdqmxrxznqu9bqOdqqb-u-7qKVi_C3x8Fu0Y2qjfw4mfmSnNWq9Xh1nEvy-fT4sX6JN-_Pr-vVJtacizHOTVUKBDAqV4IWNdSFAFWllNKalYYbrEHpAirFTCp0VWDKdJkVKCqtuDZ8SW4Ouf3Q_UzoR9l00-DCSckg5ZznQGlQZQeVHjrvB6xlH95VwywpyD0s2cgjLLmHJaGUAUXw3R98GCrsLA7Sa4tOo7ED6lGazv6T8AcdQHZv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2043336011</pqid></control><display><type>article</type><title>Model use in sustainability policy making: An experimental study</title><source>Elsevier ScienceDirect Journals</source><creator>Czaika, Ellen ; Selin, Noelle E.</creator><creatorcontrib>Czaika, Ellen ; Selin, Noelle E.</creatorcontrib><description>We examine whether decision makers who use a system dynamics model more readily create policies whose outcomes match their stated priorities or are on the Pareto Frontier of achieved outcomes, and whether model users are more likely to change their priorities. Comparing model use with other decision tools, we address these questions in a role-play simulation (serious game) experiment in which participants make multi-dimensional policy recommendations to address environmental, economic, and social equity dimensions of sustainability. Participants are randomly assigned to use one of four decision support tools: (1) actively using the model or passively being briefed. The briefings cover: (2) the insights of the model; (3) general, relevant information; or (4) irrelevant information (control). We find that model-users, group (1), discovered key insights about win-win opportunities—over-performing their priorities—and most readily created policies on the Pareto Frontier of achieved outcomes. Groups (2) and (3) best matched their policy outcomes to their priorities, missing the win-win.
•Experimental study comparing model use with use of other decision support tools a busy policy maker might employ.•73% of model users found a win-win in the policy trade space; only 7%, 13%, and 0% of users of the other DISTs did.•Model users most readily, of the experimental categories, created policies on the Pareto Frontier of achieved outcomes.•Decision makers who heard relevant presentations readily created policies that matched their stated priorities.</description><identifier>ISSN: 1364-8152</identifier><identifier>EISSN: 1873-6726</identifier><identifier>DOI: 10.1016/j.envsoft.2017.09.001</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Computer simulation ; En-ROADS ; Model use ; Pareto optimization ; Pareto optimum ; Policies ; Policy outcomes ; Priorities ; Role-play simulation ; Simulation ; Sustainability ; System dynamics</subject><ispartof>Environmental modelling & software : with environment data news, 2017-12, Vol.98, p.54-62</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Dec 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-6db97e00da6a718f0f870ab4111f29d3def0ac80ba2d47cb8e42c958e7bca3cd3</citedby><cites>FETCH-LOGICAL-c337t-6db97e00da6a718f0f870ab4111f29d3def0ac80ba2d47cb8e42c958e7bca3cd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1364815217301585$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Czaika, Ellen</creatorcontrib><creatorcontrib>Selin, Noelle E.</creatorcontrib><title>Model use in sustainability policy making: An experimental study</title><title>Environmental modelling & software : with environment data news</title><description>We examine whether decision makers who use a system dynamics model more readily create policies whose outcomes match their stated priorities or are on the Pareto Frontier of achieved outcomes, and whether model users are more likely to change their priorities. Comparing model use with other decision tools, we address these questions in a role-play simulation (serious game) experiment in which participants make multi-dimensional policy recommendations to address environmental, economic, and social equity dimensions of sustainability. Participants are randomly assigned to use one of four decision support tools: (1) actively using the model or passively being briefed. The briefings cover: (2) the insights of the model; (3) general, relevant information; or (4) irrelevant information (control). We find that model-users, group (1), discovered key insights about win-win opportunities—over-performing their priorities—and most readily created policies on the Pareto Frontier of achieved outcomes. Groups (2) and (3) best matched their policy outcomes to their priorities, missing the win-win.
•Experimental study comparing model use with use of other decision support tools a busy policy maker might employ.•73% of model users found a win-win in the policy trade space; only 7%, 13%, and 0% of users of the other DISTs did.•Model users most readily, of the experimental categories, created policies on the Pareto Frontier of achieved outcomes.•Decision makers who heard relevant presentations readily created policies that matched their stated priorities.</description><subject>Computer simulation</subject><subject>En-ROADS</subject><subject>Model use</subject><subject>Pareto optimization</subject><subject>Pareto optimum</subject><subject>Policies</subject><subject>Policy outcomes</subject><subject>Priorities</subject><subject>Role-play simulation</subject><subject>Simulation</subject><subject>Sustainability</subject><subject>System dynamics</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkM1OwzAQhC0EEqXwCEiROCes7SROuEBV8ScVcYGz5dgb5JA6IU4q8va4au-cdg8zszsfIdcUEgo0v20SdDvf1WPCgIoEygSAnpAFLQSPc8Hy07DzPI0LmrFzcuF9A0GRsXRBHt46g200eYysi_zkR2Wdqmxrxznqu9bqOdqqb-u-7qKVi_C3x8Fu0Y2qjfw4mfmSnNWq9Xh1nEvy-fT4sX6JN-_Pr-vVJtacizHOTVUKBDAqV4IWNdSFAFWllNKalYYbrEHpAirFTCp0VWDKdJkVKCqtuDZ8SW4Ouf3Q_UzoR9l00-DCSckg5ZznQGlQZQeVHjrvB6xlH95VwywpyD0s2cgjLLmHJaGUAUXw3R98GCrsLA7Sa4tOo7ED6lGazv6T8AcdQHZv</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Czaika, Ellen</creator><creator>Selin, Noelle E.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SC</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>SOI</scope></search><sort><creationdate>20171201</creationdate><title>Model use in sustainability policy making: An experimental study</title><author>Czaika, Ellen ; Selin, Noelle E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-6db97e00da6a718f0f870ab4111f29d3def0ac80ba2d47cb8e42c958e7bca3cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Computer simulation</topic><topic>En-ROADS</topic><topic>Model use</topic><topic>Pareto optimization</topic><topic>Pareto optimum</topic><topic>Policies</topic><topic>Policy outcomes</topic><topic>Priorities</topic><topic>Role-play simulation</topic><topic>Simulation</topic><topic>Sustainability</topic><topic>System dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Czaika, Ellen</creatorcontrib><creatorcontrib>Selin, Noelle E.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Czaika, Ellen</au><au>Selin, Noelle E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model use in sustainability policy making: An experimental study</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2017-12-01</date><risdate>2017</risdate><volume>98</volume><spage>54</spage><epage>62</epage><pages>54-62</pages><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>We examine whether decision makers who use a system dynamics model more readily create policies whose outcomes match their stated priorities or are on the Pareto Frontier of achieved outcomes, and whether model users are more likely to change their priorities. Comparing model use with other decision tools, we address these questions in a role-play simulation (serious game) experiment in which participants make multi-dimensional policy recommendations to address environmental, economic, and social equity dimensions of sustainability. Participants are randomly assigned to use one of four decision support tools: (1) actively using the model or passively being briefed. The briefings cover: (2) the insights of the model; (3) general, relevant information; or (4) irrelevant information (control). We find that model-users, group (1), discovered key insights about win-win opportunities—over-performing their priorities—and most readily created policies on the Pareto Frontier of achieved outcomes. Groups (2) and (3) best matched their policy outcomes to their priorities, missing the win-win.
•Experimental study comparing model use with use of other decision support tools a busy policy maker might employ.•73% of model users found a win-win in the policy trade space; only 7%, 13%, and 0% of users of the other DISTs did.•Model users most readily, of the experimental categories, created policies on the Pareto Frontier of achieved outcomes.•Decision makers who heard relevant presentations readily created policies that matched their stated priorities.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2017.09.001</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1364-8152 |
ispartof | Environmental modelling & software : with environment data news, 2017-12, Vol.98, p.54-62 |
issn | 1364-8152 1873-6726 |
language | eng |
recordid | cdi_proquest_journals_2043336011 |
source | Elsevier ScienceDirect Journals |
subjects | Computer simulation En-ROADS Model use Pareto optimization Pareto optimum Policies Policy outcomes Priorities Role-play simulation Simulation Sustainability System dynamics |
title | Model use in sustainability policy making: An experimental study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T21%3A59%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Model%20use%20in%20sustainability%20policy%20making:%20An%20experimental%20study&rft.jtitle=Environmental%20modelling%20&%20software%20:%20with%20environment%20data%20news&rft.au=Czaika,%20Ellen&rft.date=2017-12-01&rft.volume=98&rft.spage=54&rft.epage=62&rft.pages=54-62&rft.issn=1364-8152&rft.eissn=1873-6726&rft_id=info:doi/10.1016/j.envsoft.2017.09.001&rft_dat=%3Cproquest_cross%3E2043336011%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2043336011&rft_id=info:pmid/&rft_els_id=S1364815217301585&rfr_iscdi=true |