Immersive, Highly Realistic in-Lab Experiments of Cycling Route Choices

Daziano, Ricardo A; Yoon, So-Yeon; Rossetti, Tomás

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Immersive, Highly Realistic in-Lab Experiments of Cycling Route Choices

2021-06-29
By Daziano, Ricardo A ; Yoon, So-Yeon ; Rossetti, Tomás

File Language:

English

Details

Creators:

Daziano, Ricardo A ; Yoon, So-Yeon ; Rossetti, Tomás
Corporate Creators:

Cornell University. Center for Transportation, Environment, and Community Health ; Cornell University. Department of Civil and Environmental Engineering
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States;New York (New York)
Edition:

09/30/2019 – 03/31/2021
Corporate Publisher:

Cornell University. Center for Transportation, Environment, and Community Health. (CTECH)
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.
Format:

PDF
Funding:

69A3551747119
Download URL:

https://rosap.ntl.bts.gov/view/dot/60245/dot_60245_DS1.pdf
File Type:

[PDF - 767.73 KB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:7a48ab2c9b4150328ec984c72b409b7b2416323a8506402b289bd11267365afcda6ac63362880769b8ed99441f07e15bb3ad277e46d8610d8f0d5a8986520f26

File Language:

English

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