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Traffic Injury Prevention Volume 24, 2023 - Issue 4
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Research Articles

Do factors associated with older pedestrian crash severity differ? A causal factor analysis based on exposure level of pedestrians

Manze Guoa Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-8682-6158View further author information
ORCID Icon,
Zhenzhou Yuana Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4379-3384View further author information
ORCID Icon,
Bruce Jansonb Department of Civil Engineering, University of Colorado Denver, Denver, Colorado, USAORCID Iconhttps://orcid.org/0000-0003-2901-8506View further author information
ORCID Icon,
Yongxin Penga Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-9212-5366View further author information
ORCID Icon,
Rui Yuea Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-6547-3197View further author information
ORCID Icon &
Guowu Zhanga Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaView further author information
Pages 321-330 | Received 26 Sep 2022, Accepted 17 Feb 2023, Published online: 29 Mar 2023

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