基于不平衡高维碰撞数据的建筑环境因素对行人伤害严重程度的情境依赖效应

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Zehao Wang, Wei Fan
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引用次数: 0

摘要

行人与车辆碰撞中,建成环境是影响行人伤害严重程度的重要因素。以往的研究表明,各种建成环境因素对行人伤害严重程度的影响具有异质性,即在不同条件下其影响方向不同。这种异质性对制定有效对策提出了挑战。因此,本研究旨在探讨建筑环境因素的情境依赖效应,并揭示这种异质性的潜在来源。以北卡罗来纳州的撞车数据(2017-2022)为例,设计了一个增强的机器学习框架,该框架结合了条件表格生成对抗网络和基于包装器的特征选择技术,以研究与上下文相关的影响。增强功能旨在减轻与不平衡和高维碰撞数据相关的不利影响。模型结果表明,前19个重要因素中有13个属于建筑环境因素,其中11个因素(即餐馆和道路类别)是异质的。情境依赖效应分析有助于识别异质性因素产生积极效应的条件。例如,当地路线附近或城市地区的餐馆,经济较发达国家的高等级道路(即美国,州际和NC路线),以及黑暗(有或没有)道路照明条件下的标志或信号控制道路对行人伤害严重程度有明显的积极影响。这些发现可以为城市规划和政策制定提供指导,从而促进城市、区域和交通系统的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-dependent effects of built environment factors on pedestrian-injury severities with imbalanced and high dimensional crash data
Built environment is an important component that influences pedestrian injury severities in pedestrian-vehicle crashes. Previous studies indicated that the effects of various built environment factors on pedestrian injury severities are heterogeneous, meaning the direction of their effects varies under different conditions. This heterogeneity poses a challenge in developing effective countermeasures. Therefore, this study aims to explore the context-dependent effects of built environment factors and uncover the potential sources of this heterogeneity. Using North Carolina crash data (2017–2022) as a case study, an enhanced machine learning framework that incorporates a conditional tabular generative adversarial network and wrapper-based feature selection techniques is designed to investigate the context-dependent effects. The enhancements seek to mitigate the adverse impacts associated with imbalanced and high dimensional crash data. Model results show that 13 out of the top 19 important factors belong to built environment factors, with 11 of these factors (i.e., restaurants present and road class) being heterogeneous. The context-dependent effects analysis can help identify conditions for the positive effects of heterogeneous factors. For example, restaurants near the local routes or in urban areas, higher-grade roads (i.e., US, Interstate, and NC routes) in better economically developed counties, and signs or signals control roads under dark (with or without) roadway light conditions have clear positive effects on pedestrian injury severities. These findings can provide guidance for urban planning and policy development, thereby promoting the sustainable development of cities, regions, and transportation systems.
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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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