Revealing accessibility disparities: A latent class analysis linking objective and subjective accessibility measures

• Small groups of individuals, 11% in total, experience different forms of inaccessibility. • The lowest levels of accessibility are perceived by adults aged 50 years and older. • Social rather than transport or spatial aspects determine perceived inaccessibility. The last decade denoted a growing interest in perceived accessibility, yet the link between perceived and objective accessibility measures is understudied. This paper aims to address accessibility poverty by identifying groups with different levels of perceived accessibility. To achieve this aim, we develop a latent class model that relates perceived accessibility patterns to social, transport, and geographical conditions encountered by individuals. To support the specification of the latent class model, we develop a theoretical framework that links transport, social, and geographical conditions with perceived inaccessibility. Data is obtained from the Dutch National Travel Survey, which includes information on travel patterns and preferences. In total, 20,020 participants are included in the analysis. The latent class model identified six social groups with varying levels of perceived accessibility. Notably, while 89% of the individuals perceive excellent accessibility, a minority of 11% experiences different forms of inaccessibility. In addition, the latent class model showed that social rather than transport or spatial conditions encountered by individuals determine perceived inaccessibility. The results lend support to tailored policies aimed at reducing accessibility poverty and social exclusion for specific segments of the population.

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Publication Details

Journal
Transportation Research Part A Policy and Practice
Published
2024-11-29
DOI
https://doi.org/10.1016/j.tra.2024.104341
Citations
13
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
8.88
Controls
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article

Revealing accessibility disparities: A latent class analysis linking objective and subjective accessibility measures

Maarten Kroesen, Milan L. Moleman
13 citations
Transportation Research Part A Policy and Practice
Urban Transport and Accessibility
8.88
article

Revealing accessibility disparities: A latent class analysis linking objective and subjective accessibility measures

Maarten Kroesen, Milan L. Moleman
article en
13 citations

Abstract

• Small groups of individuals, 11% in total, experience different forms of inaccessibility. • The lowest levels of accessibility are perceived by adults aged 50 years and older. • Social rather than transport or spatial aspects determine perceived inaccessibility. The last decade denoted a growing interest in perceived accessibility, yet the link between perceived and objective accessibility measures is understudied. This paper aims to address accessibility poverty by identifying groups with different levels of perceived accessibility. To achieve this aim, we develop a latent class model that relates perceived accessibility patterns to social, transport, and geographical conditions encountered by individuals. To support the specification of the latent class model, we develop a theoretical framework that links transport, social, and geographical conditions with perceived inaccessibility. Data is obtained from the Dutch National Travel Survey, which includes information on travel patterns and preferences. In total, 20,020 participants are included in the analysis. The latent class model identified six social groups with varying levels of perceived accessibility. Notably, while 89% of the individuals perceive excellent accessibility, a minority of 11% experiences different forms of inaccessibility. In addition, the latent class model showed that social rather than transport or spatial conditions encountered by individuals determine perceived inaccessibility. The results lend support to tailored policies aimed at reducing accessibility poverty and social exclusion for specific segments of the population.

Transportation Research Part A Policy and PracticeVol. 192
Delft University of Technology (NL)
Reduced inequalities
Openalex Percentile: Top 2%
Urban Transport and Accessibility
8.88
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