Development of an Accessibility Analysis Framework Toward Inclusive Mobility: Focusing on Preference Inter-heterogeneity and Predictive Uncertainty

Abstract

This study proposes an individual-level accessibility analysis framework that incorporates preference inter-heterogeneity and predictive uncertainty, aiming to promote inclusive mobility accessible to all. In conventional inclusive transport planning, accessibility has primarily been defined in terms of physical reachability, often neglecting individual-level subjective experiences. The proposed framework highlights that even under formally identical transportation services, substantial differences in perceived accessibility can arise due to individual differences in preferences. An empirical case study based on person-trip data from the Tokyo metropolitan area reveals that women with children aged 0–6 tend to experience relatively low accessibility, which aligns well with social expectations.