How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach
Tomás Rossetti () and
Ricardo Daziano ()
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Tomás Rossetti: Cornell University
Ricardo Daziano: Cornell University
Transportation, 2023, vol. 50, issue 3, No 7, 913-928
Abstract:
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.
Keywords: Transportation and health; Cycling; Latent variable; Latent class (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11116-022-10266-z
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