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.

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

Le Pira M;INTURRI, GIUSEPPE;IGNACCOLO, Matteo;PLUCHINO, ALESSANDRO
2017-01-01

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.
2017
City logistics; Stakeholder engagement; Agent-based modeling; Discrete choice modeling; Stakeholder heterogeneity
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/18721
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