Communication Dans Un Congrès Année : 2025

Probabilistic modelling of daily mobility for sustainable regional planning

Modélisation probabiliste de la mobilité quotidienne pour une planification durable des territoires

Résumé

This research explores a probabilistic methodology to analyze daily mobility and its interactions with territorial characteristics. Using household survey data from the Grenoble, Toulon, and Marseille metropolitan areas, the study aims to model daily activity schedules and associated trips. These trips, characterized by the type of destination territory, the distance traveled, and the mode of transport used, are analyzed with appropriate models: multinomial logistic regressions for categorical variables and linear regression for distances. The objective is to better understand the relationships between activity schedule profiles, spatial dynamics, and sociodemographic characteristics while identifying levers to enhance the sustainability of mobility practices. The anticipated results aim to inform public policy and contribute to more sustainable territorial planning.

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Dates et versions

hal-05082081 , version 1 (09-02-2026)

Identifiants

  • HAL Id : hal-05082081 , version 1

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Louisette Garcin, Sonia Chardonnel. Modélisation probabiliste de la mobilité quotidienne pour une planification durable des territoires. SAGEO 2025 - Spatial Analysis and GEOmatics, May 2025, Avignon, France. ⟨hal-05082081⟩
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