Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders' preferences and interaction effects

Authored by Alessandro Pluchino, Pira Michela Le, Matteo Ignaccolo, Giuseppe Inturri, Edoardo Marcucci, Valerio Gatta

Date Published: 2017

DOI: 10.1016/j.tre.2017.04.006

Sponsors: Volvo Research Foundation

Platforms: NetLogo

Model Documentation: Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

This paper proposes a novel approach to support participatory decision-making processes in the context of urban freight transport through the integration of discrete choice modeling and agent-based modeling. The methodology is based on an innovative multilayer network and opinion dynamics models and applied to the case study of Rome's limited traffic zone. Simulation results produce a ranking of plausible policies that maximize consensus building while minimizing utility losses due to the negotiation process. These results can be used to support real participatory decision-making processes on freight-related policies accounting both for stakeholders' heterogeneous preferences and their interaction effects. (C) 2017 Elsevier Ltd. All rights reserved.

Tags

Agent-based modeling Innovation Dynamics networks Model perspective city logistics Decisions Stakeholder engagement Discrete choice modeling Stakeholder heterogeneity