Exploring e-scooter risk factors based on interpretable machine learning framework

doi:10.1016/j.jsr.2025.06.011

2025-06-21

PRE

Amjad Pervez

Arshad Jamal *

DOI：10.1016/j.jsr.2025.06.011

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摘要

En 中文

• 评估导致电动滑板车事故严重程度的临界风险因素。 • 骑手性别、车辆、照明和道路类型显著影响电动滑板车安全。 • 交互效应显示，男性骑手在低光照和高速度条件下面临更严重的事故后果。 • 建议实施电动滑板车安全骑行激励措施、培训以及分级许可制度。

期刊

Journal of Safety Research

IF:

4.4

论文数:

2.7K

被引数:

6.7K

机构

Central South University

学者数:

10.0W

论文数: 7.2W

被引数: 10.9W

Qassim University

学者数:

5.7K

论文数: 5.5K

被引数: 5.0K

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