Identifying factors related to pedestrian and cyclist crashes in ACT, Australia with an extended crash dataset

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Bo Du , Cheng Zhang , Arupa Sarkar , Jun Shen , Akbar Telikani , Hao Hu
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引用次数: 0

Abstract

As vulnerable road users, pedestrians and cyclists are facing a growing number of injuries and fatalities, which has raised increasing safety concerns globally. Based on the crash records collected in the Australian Capital Territory (ACT) in Australia from 2012 to 2021, this research firstly establishes an extended crash dataset by integrating road network features, land use features, and other features. With the extended dataset, we further explore pedestrian and cyclist crashes at macro- and micro-levels. At the macro-level, random parameters negative binomial (RPNB) model is applied to evaluate the effects of Suburbs and Localities Zones (SLZs) based variables on the frequency of pedestrian and cyclist crashes. At the micro-level, binary logit model is adopted to evaluate the effects of event-based variables on the severity of pedestrian and cyclist crashes. The research findings show that multiple factors are associated with high frequency of pedestrian total crashes and fatal/injury crashes, including high population density, high percentage of urban arterial road, low on-road cycleway density, high number of traffic signals and high number of schools. Meanwhile, many factors have positive relations with high frequency of cyclist total crashes and fatal/injury crashes, including high population density, high percentage of residents cycling to work, high median household income, high percentage of households with no motor vehicle, high percentage of urban arterial road and rural road, high number of bus stops and high number of schools. Additionally, it is found that more severe pedestrian crashes occur: (i) at non-signal intersections, (ii) in suburb areas, (iii) in early morning, and (iv) on weekdays. More severe cyclist crashes are observed when the crash type is overturned or struck object/pedestrian/animal; when more than one cyclist is involved; and when crash occurs at park/green space/nature reserve areas.

利用扩展碰撞数据集确定澳大利亚首都地区行人和骑自行车者碰撞事故的相关因素
作为易受伤害的道路使用者,行人和骑自行车者正面临着越来越多的伤亡事故,这在全球范围内引发了越来越多的安全问题。本研究以 2012 年至 2021 年期间在澳大利亚首都领地收集的碰撞记录为基础,首先通过整合道路网络特征、土地使用特征和其他特征,建立了一个扩展碰撞数据集。利用扩展数据集,我们进一步从宏观和微观层面探讨了行人和骑自行车者的碰撞事故。在宏观层面,我们采用随机参数负二项(RPNB)模型来评估基于郊区和地方区域(SLZs)的变量对行人和骑自行车者碰撞事故频率的影响。在微观层面上,采用二元对数模型来评估基于事件的变量对行人和骑自行车者碰撞事故严重程度的影响。研究结果表明,多种因素与行人总碰撞事故和致命/受伤碰撞事故的高频率相关,包括高人口密度、高城市干道比例、低道路自行车道密度、高交通信号灯数量和高学校数量。同时,许多因素与骑自行车者总碰撞事故和伤亡碰撞事故的高频率呈正相关,包括人口密度高、骑自行车上班的居民比例高、家庭收入中位数高、无机动车家庭比例高、城市干道和乡村道路比例高、公交车站数量多和学校数量多。此外,研究还发现,更严重的行人碰撞事故发生在以下地点(i) 非信号灯交叉路口,(ii) 郊区,(iii) 清晨,以及 (iv) 平日。当碰撞类型为翻车或撞击物体/行人/动物、涉及不止一名骑车人以及碰撞发生在公园/绿地/自然保护区时,骑车人的碰撞事故更为严重。
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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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