Abstract

ABSTRACT This research addressed two questions: (1) what are the associations of built environments with public bike use, and (2) how different are the associations among sociodemographic groups? The study sampled commuters entering or leaving the metro stations in Xinyi District, Taipei, Taiwan. Their mode choices of connecting trips between trip origins/destinations and metro stations were analyzed using logit and latent class models. Empirical evidence revealed that attributes of density, diversity, distance to transit, and distribution of rental stations result in more significant effects on public bike use than attributes of design and destination accessibility in general. The three segments of respondents that indicated partially dissimilar associations of built environments with public bike use were identified. The empirical results contributed new evidence to the study issues and benefited the development of customized strategies based on travelers’ sociodemographic attributes and built environments for promoting public bike use.

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