Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California-Reference-Cited by-同舟云学术

Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California

Published:2022-02-10 Issue:1 Volume:15 Page:43-58
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Hossain Md Julfiker¹^ORCID,Ivan John N.¹,Zhao Shanshan²,Wang Kai²,Sharmin Sadia¹,Ravishanker Nalini³,Jackson Eric²

Affiliation:

1. Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut, USA

2. Connecticut Transportation Safety Research Center, Connecticut Transportation Institute, University of Connecticut, Storrs, Connecticut, USA

3. Department of Statistics, University of Connecticut, Storrs, Connecticut, USA

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2022.2033899

Reference41 articles.

1. Analysis of driver injury severity levels at multiple locations using ordered probit models

2. Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models

3. Using logistic regression to estimate the influence of accident factors on accident severity

4. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities

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

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