Evaluating Alternative Measures of Bicycling “Level of Traffic Stress” Using Crowdsourced Route Satisfaction Data [Research Brief]

Harvey, Chester; Fang, Kevin; Rodriguez, Daniel A.; San Jose State University. College of Business. Mineta Transportation Institute

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Evaluating Alternative Measures of Bicycling “Level of Traffic Stress” Using Crowdsourced Route Satisfaction Data [Research Brief]

2019-09-01
Datasets Available
By Harvey, Chester ; Fang, Kevin ; Rodriguez, Daniel A.

[PDF-725.68 KB]

English

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Creators:

Harvey, Chester ; Fang, Kevin ; Rodriguez, Daniel A.

Harvey, Chester ; Fang, Kevin ; Rodriguez, Daniel A. Less -
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute
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

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

[+]

Bicycle Facilities Bicycling Complete Streets Crowdsourcing Cyclists Data Collection Streetscape Stress (Psychology)
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

The “Level of Traffic Stress” (LTS) framework, first proposed in a 2012 Mineta Transportation Institute report, is an increasingly popular approach to evaluating the quality of roadways for bicycling. In their new MTI report, authors Chester Harvey, Kevin Fang, and Daniel A. Rodriguez further explore what LTS tells practitioners and researchers about the bicycling environment. To investigate the validity of LTS, the authors compare conceptual LTS ratings and LTS model inputs with real world, user-reported data on how satisfactory or not satisfactory bicycle trips are. Additionally, the authors look at the comparability of multiple variants of the LTS method developed since 2012.
Format:

PDF
Funding:

69A3551747127
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:fa79d5e4c1ce7caba06f5fc0e5be636813497a71375d080ece0e119e7117d035
Download URL:

https://rosap.ntl.bts.gov/view/dot/62973/dot_62973_DS1.pdf
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Evaluating Alternative Measures of Bicycling “Level of Traffic Stress” Using Crowdsourced Route Satisfaction Data [Research Brief]

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