A Two-Level Random Intercept Logit Model for Predicting Pedestrian-Vehicle Crash-Reference-Cited by-同舟云学术

A Two-Level Random Intercept Logit Model for Predicting Pedestrian-Vehicle Crash

Published:2020-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2020
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Author:

Guo Manze¹²³⁴,Yuan Zhenzhou¹²³⁴,Janson Bruce¹²³⁴,Yang Yang¹²³⁴

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing, China; Dept. of Civil Engineering, Univ. of Colorado Denver, Denver, CO.

2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing, China.

3. Dept. of Civil Engineering, Univ. of Colorado Denver, Denver, CO.

4. Ph.D. Candidate, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing, China; Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483152.007

Reference38 articles.

1. Retting R. Pedestrian Traffic Fatalities by State. Governors Highway Safety Association Washington DC 2017.

2. Misunderstanding of Right-of-Way Rules at Various Pedestrian Crossing Types: Observational Study and Survey.;Hatfield J.;Accident Analysis & Prevention,2012

3. Traffic Volume Trends Traffic. ≤https://www.fhwa.dot.gov/policyinformation/travel_monitoring/17juntvt/≥ (June 2012).

4. National Bureau of Statistics of China (NBS). (2017).Traffic Crashes Statistic of Traffic Accidents Beijing. < http://www.stats.gov.cn/.>

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