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.
|Titolo:||Simulating participatory urban freight transport policy-making: accounting for heterogeneous stakeholders’ preferences and interaction effects|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||1.1 Articolo in rivista|