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Multi-actor multi-criteria analysis for sustainable city distribution: a new assessment framework

Milan, Lauriane et al.

International journal of multicriteria decision making. Volume 5:Number 4 (2015); pp 334-354 -- Inderscience Publishers

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  • Title:
    Multi-actor multi-criteria analysis for sustainable city distribution: a new assessment framework
  • Author: Milan, Lauriane;
    Kin, Bram;
    Verlinde, Sara;
    Macharis, Cathy
  • Found In: International journal of multicriteria decision making. Volume 5:Number 4 (2015); pp 334-354
  • Journal Title: International journal of multicriteria decision making
  • Subjects: PROMETHEE-GDSS--multi-actor MCDA--multicriteria decision analysis--sustainable city distribution--multicriteria decision making--MCDM--sustainability--impact assessment--freight transport--urban freight--cities--case study--United Kingdom--UK charity sector--Oxfam--remote monitoring--banks--collection scheduling--PROMETHEE; Dewey: 658.403005
  • Rights: legaldeposit
  • Publication Details: Inderscience Publishers
  • Abstract:

    Urban areas are facing several challenges, especially to organise freight transport in a sustainable way. Many innovative city distribution concepts have failed because not all stakeholders were taken into account in the decision-making process. Evaluating urban freight solutions summons the need for a new approach, taking into consideration different conflicting objectives from different stakeholders. Within STRAIGHTSOL (strategies and measures for smarter urban freight solutions, EC FP7), a systematic impact assessment framework dedicated to freight transportation has been developed. The so-called city distribution - multi-actor multi-criteria analysis (CD-MAMCA) incorporates the city distribution actors and their objectives as the primary focus complemented with a MCDA performed with the PROMETHEE-GDSS method. In this paper, the specific framework dedicated to city distribution is fully explained through a case study in the UK charity sector with Oxfam which tested remote monitoring of the banks leading to dynamic collection scheduling.


  • Identifier: System Number: LDEAvdc_100069353097.0x000001; Journal ISSN: 2040-106X
  • Publication Date: 2015
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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