Integrating discrete choice models and agent-based models for ex-ante evaluation of stakeholder policy acceptability in urban freight transport
Authored by Alessandro Pluchino, Pira Michela Le, Matteo Ignaccolo, Giuseppe Inturri, Edoardo Marcucci, Valerio Gatta
Date Published: 2017
DOI: 10.1016/j.retrec.2017.08.002
Sponsors:
Italian Ministry of Education
Volvo Research Foundation
Platforms:
NetLogo
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
This paper discusses the potential benefits of combining discrete choice
models (DCMs) and agent-based models (ABMs) to provide a stakeholder
behavioural analysis and support stakeholder engagement in urban freight
transport (UFT) planning. The integrated modelling framework allows to
evaluate stakeholders' policy acceptability taking into account their
heterogeneous preferences and their interactive behaviour. The
stakeholder behavioural analysis proposed, together with technical and
economic analyses, contributes to the ex-ante policy assessment needed
to support policy-makers in taking well thought-out decisions. An
application of the modelling framework is here presented with the aim to
prove its feasibility and added value for UFT policy-making, since it
provides a ranking of policies that are likely to be accepted by
stakeholders and that satisfy their heterogeneous desires and objectives
while accounting for interaction effects. (C) 2017 Elsevier Ltd. All
rights reserved.
Tags
agent-based simulation
Simulation
Design
Innovation
Opinion dynamics
networks
Heterogeneity
preferences
perspective
City
Stated preference
Stakeholder behavioural analysis
Stakeholder acceptance
Participatory urban freight transport
planning
Retailers