Criteria preprocessing in multi-actor multi-criteria analysis

被引:9
|
作者
Huang, He [1 ,2 ]
Canoy, Rocsildes [1 ]
Brusselaers, Nicolas [1 ]
te Boveldt, Geert [1 ]
机构
[1] Vrije Univ Brussel, MOBILISE Res Grp, Ixelles, Belgium
[2] Vrije Univ Brussel, Blvd Pl 2, B-1050 Ixelles, Belgium
关键词
criteria-selection; multi-actor multi-criteria analysis; multi-criteria decision making; Pareto analysis; STAKEHOLDER INVOLVEMENT; HIERARCHY PROCESS; DECISION-MAKING; NUMBER; 7; PLUS; SUSTAINABILITY; PREFERENCES; ELECTRE; STATE; MAMCA;
D O I
10.1002/mcda.1804
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Multi-actor multi-criteria analysis is a group decision-making framework that allows multiple stakeholder groups to be involved in the decision-making process, facilitating the understanding of the points of consensus and conflict among the stakeholder groups. Carefully selecting suitable criteria is important as they illustrate the possibly divergent priorities of the respective stakeholder group, and overlooking important criteria can lead to erroneous outcomes. Furthermore, the number of criteria needs specific consideration, as a too large number poses problems for human cognition, but a too small number inaccurately represents the stakeholder's interest. In stakeholder groups with many members, such as those representing citizens, defining a criteria set is likely to be even more complicated. Currently, there is no formal guideline to assist facilitators in defining these criteria sets. In this paper, we propose a novel framework for criteria preprocessing with stakeholder involvement that includes a guideline for firstly selecting criteria into a tentative list and secondly selecting the final criteria set. It provides a procedure on how to determine criteria considering the priorities of stakeholder groups with regard to the context. As a final step, we propose a mathematical model for selecting a number of criteria that are both cognitively manageable and representative for the participants' priorities. Based on the principles of the Pareto analysis, as well as the cognitive judgment theory "magic number seven plus or minus two ", a recommendation list of the criteria is generated. It prevents key criteria from being omitted while at the same time limiting the overall number of criteria. This framework is applied to a social decision-making case for construction logistics, and the results are compared with the conventional approach of criteria definition.
引用
收藏
页码:132 / 146
页数:15
相关论文
共 50 条
  • [1] A multi-actor multi-criteria analysis of the performance of global cities
    Kourtit, Katima
    Macharis, Cathy
    Nijkamp, Peter
    APPLIED GEOGRAPHY, 2014, 49 : 24 - 36
  • [2] A multi-actor multi-criteria scenario analysis of regional sustainable resource policy
    Akgun, Aliye Ahu
    van Leeuwen, Eveline
    Nijkamp, Peter
    ECOLOGICAL ECONOMICS, 2012, 78 : 19 - 28
  • [3] Application of Multi-Actor Multi-Criteria Analysis for Transition Management in Energy Communities
    Lode, Maria Luisa
    te Boveldt, Geert
    Macharis, Cathy
    Coosemans, Thierry
    SUSTAINABILITY, 2021, 13 (04) : 1 - 18
  • [4] Range-based Multi-Actor Multi-Criteria Analysis: A combined method of Multi-Actor Multi-Criteria Analysis and Monte Carlo simulation to support participatory decision making under uncertainty
    Baudry, Gino
    Macharis, Cathy
    Vallee, Thomas
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 264 (01) : 257 - 269
  • [5] Cooperative multi-actor multi-criteria optimization framework for process integration
    Lechtenberg, Fabian
    Areste-Salo, Lluc
    Espuna, Antonio
    Graells, Moises
    APPLIED ENERGY, 2025, 377
  • [6] A bilateral deliberation mechanism for conflict resolving with multi-actor and multi-criteria
    Luo, Shucheng
    Xu, Zeshui
    Zhu, Bin
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 319 (01) : 234 - 245
  • [7] Improving policy support in city logistics: The contributions of a multi-actor multi-criteria analysis
    Lebeau, Philippe
    Macharis, Cathy
    Van Mierlo, Joeri
    Janjevic, Milena
    CASE STUDIES ON TRANSPORT POLICY, 2018, 6 (04) : 554 - 563
  • [8] Stakeholder bias in multi-actor multi-criteria transportation evaluation: issues and solutions
    Macharis, Cathy
    Nijkamp, Peter
    SMART TRANSPORT NETWORKS: MARKET STRUCTURE, SUSTAINABILITY AND DECISION MAKING, 2013, : 248 - 268
  • [9] The Multi-Actor Multi-Criteria Analysis (MAMCA) as a Tool to Evaluate Shaanxi Renewable Energy Projects
    Li, Hui
    Zan, Xin
    Tu, Jiahao
    2022 6TH INTERNATIONAL CONFERENCE ON GREEN ENERGY AND APPLICATIONS (ICGEA 2022), 2022, : 27 - 35
  • [10] Assessing Spatial Data Infrastructure Policy Strategies Using the Multi-Actor Multi-Criteria Analysis
    Geudens, Tessa
    Macharis, Cathy
    Crompvoets, Joep
    Plastria, Frank
    INTERNATIONAL JOURNAL OF SPATIAL DATA INFRASTRUCTURES RESEARCH, 2009, 4 : 265 - 297