Creating stakeholder awareness in construction logistics by means of the MAMCA

Anna Fredriksson, Mats Janné, Pamela Nolz, Philippine de Radiguès de Chennevière, Tom van Lier, Cathy Macharis

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Abstract

The temporariness of construction supply chains, in combination with the multiplicity of stakeholders complicates the organization of construction logistics. The problem for cities today is not the construction materials’ transports as such, it is how to ensure accessibility and mobility for stakeholders during the construction time. In general, there is no tradition of including different stakeholder perspectives when evaluating construction logistics setups. However, in other urban freight transport applications, multi-stakeholder dialogues are more common, and one methodology suggested and used as a Multi-Criteria Decision Analysis (MCDA) method is the Multi-Actor Multi-Criteria Analysis (MAMCA). In this paper we develop a customized methodology for applying MAMCA in a construction logistics context, gradually refining the methodology along five cases in three different countries. We show how MAMCA must be adapted to fit the construction context. The main differences are: (1) predefined construction logistics alternatives, (2) predefined actors and criteria groups, and (3) the possibility of using the method in role play to create awareness of stakeholder views in homogenous groups. The methodology proved to be valuable for (1) identifying relevant stakeholders and their criteria, (2) identifying and understanding stakeholders’ preferences regarding construction logistics, and (3) creating awareness of the need to initiate construction logistics in a project. Furthermore, it showed the need to clarify whom is to take responsibility for initiating the use of construction logistics setups.

Original languageEnglish
Article number100067
JournalCity and Environment Interactions
Volume11
DOIs
Publication statusPublished - Aug 2021

Keywords

  • Action research
  • Construction logistics setups
  • Decision support
  • Multi-Criteria Decision Analysis
  • Urban construction

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