Work

Utility-Driven Demand Estimation Framework for Regional Transport Systems

Year: 2025

Type: article

Abstract: Regional transport systems face unique challenges, such as low population density and limited infrastructure, complicating accurate demand estimation, yet essential to any approach to designing or managing transport activities. This paper introduces a demand estimation framework tailored to regional contexts, integrating both passenger and freight needs into a unified, utility-based model that dynamically adjusts to user expectations and transport mode characteristics over time. The model incorporates an original utility function that weights key transport features based on specific user profiles. An illustrative case allows validating the framework’s applicability, illustrating its ability to map demand flows, supporting it as an effective decision-support tool for regional transport operators.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.018

Authors: Liz Araceli Cristaldo, Eva Petitdemange, Matthieu Lauras, Benoit Montreuil

Institutions: IMT Mines Albi, Centre de Génie Industriel, Université de Toulouse, Georgia Institute of Technology

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4414568710

FWCI:

Cites: 11

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