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  6. Immersive, highly realistic in-lab experiments of cycling route choices

Immersive, highly realistic in-lab experiments of cycling route choices

File(s)
CU_YR4_DAZIANO YOON_IMMERSIVE HIGHLY REALISTIC.pdf (763.18 KB)
Permanent Link(s)
https://hdl.handle.net/1813/104275
Collections
CTECH Final Reports
Author
Daziano, Ricardo A
Yoon, So-Yeon
Rossetti, Tomás
Abstract

This project 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.

Description
Final Report
Sponsorship
U.S. Department of Transportation 69A3551747119
Date Issued
2021-06-29
Keywords
Transportation and health
•
Cycling
•
latent variable
•
latent class
Rights
Attribution 4.0 International
Rights URI
http://creativecommons.org/licenses/by/4.0/
Type
report
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