{"title":"The multi-actor multi-criteria analysis in action for sustainable urban mobility decisions: the case of Leuven","authors":"Imre Keseru, Jeroen Bulckaen, C. Macharis","doi":"10.1504/IJMCDM.2016.10000532","DOIUrl":null,"url":null,"abstract":"Urban mobility strategy-making usually involves a large number of stakeholders with diverse objectives. Therefore, participatory decision-making is a time-consuming and resource-intensive process. This paper discusses how the multi-actor multi-criteria analysis (MAMCA) methodology complemented with an electronic group decision support system (GDSS) can contribute to a well-structured decision-making process to come to a commonly supported mobility policy. The proposed approach is demonstrated through a workshop in Leuven, Belgium where four scenarios to improve mobility in the city centre were evaluated based on the preferences of 34 stakeholders. Our findings show that criteria weighting, the set-up of the evaluation matrix, the ranking of alternatives and implementation can be enhanced with our approach. The proposed workshop setting provides an opportunity for stakeholders to interactively weight and evaluate scenarios in an online software tool, while interacting with each other in a workshop setting. Further improvements of the process in terms of finding a compromise are also proposed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"11 1","pages":"211-236"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2016.10000532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 9
Abstract
Urban mobility strategy-making usually involves a large number of stakeholders with diverse objectives. Therefore, participatory decision-making is a time-consuming and resource-intensive process. This paper discusses how the multi-actor multi-criteria analysis (MAMCA) methodology complemented with an electronic group decision support system (GDSS) can contribute to a well-structured decision-making process to come to a commonly supported mobility policy. The proposed approach is demonstrated through a workshop in Leuven, Belgium where four scenarios to improve mobility in the city centre were evaluated based on the preferences of 34 stakeholders. Our findings show that criteria weighting, the set-up of the evaluation matrix, the ranking of alternatives and implementation can be enhanced with our approach. The proposed workshop setting provides an opportunity for stakeholders to interactively weight and evaluate scenarios in an online software tool, while interacting with each other in a workshop setting. Further improvements of the process in terms of finding a compromise are also proposed.
期刊介绍:
IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields