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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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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.

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Acknowledgements

This research was supported by the Center for Transportation, Environment, and Community Health, CTECH (data collection); the National Science Foundation Award No. SES-2031841 (methodology); and the Chilean National Agency for Research and Development’s Scholarship Program (ANID) / Doctorado Becas Chile / 2019 / 72200167 (graduate research assistant support). On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Project conceptualization was done by both authors. Material preparation and data collection was performed by Ricardo A. Daziano. Model estimation was performed by Tomás Rossetti. A first draft of the manuscript was written by Tomás Rossetti and Ricardo A. Daziano edited it. All authors read and approved the final manuscript.

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Correspondence to Tomás Rossetti.

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Rossetti, T., Daziano, R. How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach. Transportation 50, 913–928 (2023). https://doi.org/10.1007/s11116-022-10266-z

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