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How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach

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  • Tomás Rossetti

    (Cornell University)

  • Ricardo Daziano

    (Cornell University)

Abstract

This study aims to understand how self-assessed health status relates to preferences for cycling infrastructure. An integrated latent class and latent variable choice model is fitted using responses to a stated preference experiment from a panel of New York City residents (N = 801). Estimates show that people with stated good physical health tend to have preference parameters similar to those of experienced cyclists. This result means that the provision of cycling infrastructure with the purpose of attracting non-cyclists also has the potential of attracting those with worse health outcomes. This result suggests a double benefit coming from car use reduction and lower health spending.

Suggested Citation

  • Tomás Rossetti & Ricardo Daziano, 2023. "How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach," Transportation, Springer, vol. 50(3), pages 913-928, June.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:3:d:10.1007_s11116-022-10266-z
    DOI: 10.1007/s11116-022-10266-z
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    1. Cai, Yangqian & Moreno, Ana Tsui, 2024. "Identifying non-universal heterogeneity of preferences of leisure cyclists for rural highway environments: A latent-class model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).

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