Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means-Reference-Cited by-同舟云学术

Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means

Published:2023-05-22 Issue: Volume: Page:1-28
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Yu Qiong¹,Zhou Yue¹,Xu Chuan¹,Atumo Eskindir Ayele¹²,Jiang Xinguo¹³⁴

Affiliation:

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China

2. Dire Dawa Institute of Technology, Dire Dawa University, Dire Dawa, Ethiopia

3. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, West Park, High-Tech District, Chengdu, China

4. School of Transportation, Fujian University of Technology, Fuzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2023.2214509

Reference46 articles.

1. A comparative study of factors associated with motorcycle crash severities under different causal scenarios

2. Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach

3. A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

4. The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach

5. Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

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