Participatory decision-support tools for stakeholder engagement in urban freight transport policy making

Michela Le Pira, Edoardo Marcucci, Valerio Gatta, Matteo Ignaccolo and Giuseppe Inturri

Chapter 16 in Handbook on City Logistics and Urban Freight, 2023, pp 327-345 from Edward Elgar Publishing

Abstract: This chapter addresses the complexity of stakeholder engagement in urban freight transport policy making. Stakeholders can be involved using different techniques. However, there is limited knowledge of how to support and manage effective stakeholder engagement processes. We address this gap of knowledge by presenting some interesting tools that can be used to facilitate the participation process. We categorize participatory decision-support tools according to the level of stakeholder involvement in the decision-making process. We present some examples, i.e., a “participation cube” aimed at analyzing stakeholders on the basis of their level of competence, influence and power in the decision-making process, and an integrated modelling procedure for a stakeholder behavioural analysis aimed at simulating stakeholder interaction and opinion change in a consensus-building process.

Keywords: Business and Management; Economics and Finance; Environment; Geography; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781800370173/9781800370173.00027.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:19924_16

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().