A stochastic multi-criteria evaluation of mobility solutions for people with psychiatric disabilities using data-driven persona

Axel Le Dréau (), Rémy Le Boennec () and Jaâfar Berrada ()
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Axel Le Dréau: VeDeCom - VEhicule DEcarboné et COmmuniquant et sa Mobilité
Rémy Le Boennec: MATRiS - Mobilité, Aménagement, Transports, Risques et Société - Cerema - Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - CY - CY Cergy Paris Université
Jaâfar Berrada: VeDeCom - VEhicule DEcarboné et COmmuniquant et sa Mobilité

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Abstract: This study aims at identifying which mobility solutions are most suitable for addressing the particular needs of people with psychiatric disabilities. We developed a 3-step evaluation framework: (1) development of a dataset (operator data and qualitative monitoring), (2) analysis of supply and demand of mobility solutions for people with psychiatric disabilities, and (3) processing of a multi-criteria decision analysis. This framework is used to analyze the ‘PAM' service, an on-demand mobility solution specifically intended for people with disabilities in Seine-Saint-Denis (Paris region, France). The results highlight the strong performance of on-demand transport services in supporting routine mobility needs, while underscoring the importance of robustness to preference and evaluation uncertainty in service assessment. From a policy perspective, the framework provides local authorities with evidence-based recommendations to compare mobility solutions and support the design or renewal of services better aligned with the specific needs of people with psychiatric disabilities.

Keywords: Travel behavior; Persona; Latent class analysis; Multi-criteria decision analysis; On-demand mobility; People with disabilities (search for similar items in EconPapers)
Date: 2026-09-29
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Published in hEART 2026, Sep 2026, Paris, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05787076

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