建筑环境因素对行人受伤严重性的上下文依赖影响,不平衡和高维的撞车数据
1USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001, United States of America.
Accident; analysis and prevention
|May 15, 2025
概括
建筑环境因素显著影响行人受伤的严重程度,影响因上下文而异. 了解这些取决于环境的影响,如餐厅和道路等级的影响,是制定有针对性的安全战略的关键.
科学领域:
- 运输安全运输安全
- 城市规划 城市规划
- 机器学习应用 机器学习应用
背景情况:
- 建筑环境显著影响车辆碰撞中行人受伤的严重程度.
- 建筑环境因素的影响往往是异质的,使对策的制定复杂化.
- 识别上下文影响对于有效的行人安全干预至关重要.
研究的目的:
- 探索建筑环境因素对行人伤害严重性的上下文依赖影响.
- 揭示这些效应中异质性的来源.
- 为城市规划和政策提供数据驱动的指导.
主要方法:
- 利用了北卡罗来纳州 (2017-2022) 的车祸数据.
- 采用了一种增强的机器学习框架,具有条件表式生成对抗网络.
- 集成的基于封装的功能选择,以处理不平衡和高维数据.
主要成果:
- 在前19个重要因素中,有13个与建筑环境相关.
- 包括餐馆和道路等级在内的11个因素表现出异质的影响.
- 确定了特定的条件,例如餐馆,道路等级和照明等因素影响受伤严重程度.
结论:
- 取决于背景的分析揭示了建筑环境对行人安全的微妙影响.
- 调查结果强调了在城市规划和交通安全方面考虑当地环境的重要性.
- 结果支持为可持续的城市和交通系统制定有针对性的政策.
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