Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach-Reference-Cited by-同舟云学术

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Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach

Published:2023-11-03 Issue: Volume: Page:1-24
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Ouyang Huijie¹,Han Yin¹,Liu Pengfei¹,Zhao Jing¹

Affiliation:

1. Department of Traffic Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Shu Guang Program

Shanghai Pu Jiang Program

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2023.2276197

Reference40 articles.

1. The impact of higher speed limits on the frequency and severity of freeway crashes: Accounting for temporal shifts and unobserved heterogeneity

2. Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia

3. Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction

4. Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–2016

5. An analysis of pedestrian crash trends and contributing factors in Texas

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine learning;Accident Analysis & Prevention;2024-09

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