Empirical analysis of perceived inaccessibility in the Netherlands

A growing body of research examines how people perceive accessibility, typically drawing from small-scale surveys in either urban or rural areas. The novelty of this study lies in analysing the heterogeneity in the perceived inability to reach different destinations, accounting for differences across population segments, regions, and transport modes at a nationwide scale. We apply destination-specific ordered logistic regression models and negative-exponential impedance functions, with data from the Dutch National Travel Survey (n = 81,182) alongside a dataset of nationwide cumulative opportunity accessibility measures. Results show that household income, employment, car or E-bike availability, and frequency of biking and driving are associated with lower perceived inaccessibility. Conversely, migration background and use of public transport are associated with higher perceived inaccessibility. The study findings highlight the importance of incorporating people’s capabilities in transport policy to improve accessibility and overall wellbeing.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2026-10-15
DOI
https://doi.org/10.1016/j.trd.2026.105693
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
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article

Empirical analysis of perceived inaccessibility in the Netherlands

Karst Geurs, Roberto Nacxit Ramirez Juarez, Anna Grigolon, Jeroen Bastiaanssen
Transportation Research Part D Transport and Environment
Urban Transport and Accessibility
article

Empirical analysis of perceived inaccessibility in the Netherlands

Karst Geurs, Roberto Nacxit Ramirez Juarez, Anna Grigolon, Jeroen Bastiaanssen
article en

Abstract

A growing body of research examines how people perceive accessibility, typically drawing from small-scale surveys in either urban or rural areas. The novelty of this study lies in analysing the heterogeneity in the perceived inability to reach different destinations, accounting for differences across population segments, regions, and transport modes at a nationwide scale. We apply destination-specific ordered logistic regression models and negative-exponential impedance functions, with data from the Dutch National Travel Survey (n = 81,182) alongside a dataset of nationwide cumulative opportunity accessibility measures. Results show that household income, employment, car or E-bike availability, and frequency of biking and driving are associated with lower perceived inaccessibility. Conversely, migration background and use of public transport are associated with higher perceived inaccessibility. The study findings highlight the importance of incorporating people’s capabilities in transport policy to improve accessibility and overall wellbeing.

Transportation Research Part D Transport and EnvironmentVol. 162
Netherlands Environmental Assessment Agency (NL), University of Twente (NL)
Reduced inequalities, Sustainable cities and communities, Industry, innovation and infrastructure, Good health and well-being
Openalex Percentile: Top 12%
Urban Transport and Accessibility
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