Vulmob, a new multidimensional indicator of mobility vulnerability

Vulmob, un indicateur multidimensionnel de vulnérabilité relative à la mobilité

L. Blandin (), Hélène Bouscasse () and Sandrine Mathy ()
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L. Blandin: GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes
Hélène Bouscasse: CESAER - Centre d'économie et de sociologie rurales appliquées à l'agriculture et aux espaces ruraux - UBFC - Université Bourgogne Franche-Comté [COMUE] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement
Sandrine Mathy: GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes

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Abstract: Mobility enables to find jobs, go to school or meet people. However, long distances, high costs, car dependency and poor accessibility are sources of mobility vulnerabilities. The current rise in fuel prices may have a strong impact on mobility, especially for households that rely heavily on their cars. Moreover, the need to reduce air pollution and greenhouse gases emissions requires the implementation of ambitious environmental policies. It is therefore necessary to identify transport poor households, affected by financial issues, as well as vulnerable households whose mobility would be strongly impacted by changes in individual mobility conditions and would have difficulties to adapt to this situation. To this end, we construct VulMob, a multidimensional indicator made up of thirteen individual factors organized in four dimensions: financial resources and transport affordability, work constraints, heavy car use and accessibility and structural constraints. We apply this indicator to the Grenoble area, in France. Our results show that 9.6% are highly vulnerable, meaning that they face at least six vulnerability issues and 5.5% of the households face transport affordability issues. A typology of five profiles of highly vulnerable households shows that some are financially constrained; others are heavy car users, work at night or face public transport accessibility problems.

Keywords: Mobility; Transport poverty; Transport; Vulnerability; Multidimensional indicator; Mobilité; La pauvreté dans les transports; Vulnérabilité; Indicateur multidimensionnel; Politique publique (search for similar items in EconPapers)
Date: 2024-08-01
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Published in Energy Economics, 2024, 136, pp.107730. ⟨10.1016/j.eneco.2024.107730⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04623216

DOI: 10.1016/j.eneco.2024.107730

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