Scholarlink

Amid the global energy crisis and environmental concerns, this study investigates how the rise of electric vehicles (EVs) impacts road safety. Using 2012–2020 Beijing accident data, it compares accident severity between EVs and internal combustion engine vehicles (ICEVs) across two, three, and four-wheeled types. Employing Risk Ratio and CatBoost-PDP models, the analysis reveals a substantial disparity in accident severity between EVs and ICEVs. Key factors influencing severity include driving behavior, season, road type, and built-environment characteristics, all of which significantly affect accidents across different EV categories. These findings are crucial for developing targeted policies to mitigate EV-related accident risks and support the sustainable development of green, low-carbon transportation systems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Unveiling Electric Vehicle Traffic Accident Risks: A Data-Driven Analysis of Accident Severity and Key Influencing Factors

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Huiyu Zhou,
  • Yiyang Fu

摘要

Amid the global energy crisis and environmental concerns, this study investigates how the rise of electric vehicles (EVs) impacts road safety. Using 2012–2020 Beijing accident data, it compares accident severity between EVs and internal combustion engine vehicles (ICEVs) across two, three, and four-wheeled types. Employing Risk Ratio and CatBoost-PDP models, the analysis reveals a substantial disparity in accident severity between EVs and ICEVs. Key factors influencing severity include driving behavior, season, road type, and built-environment characteristics, all of which significantly affect accidents across different EV categories. These findings are crucial for developing targeted policies to mitigate EV-related accident risks and support the sustainable development of green, low-carbon transportation systems.