Exploring the Impact of Climate Change on Road Fatalities: A Macroscopic Panel Data Analysis

IF 1.8 4区 工程技术 Q2 ENGINEERING, CIVIL
Qirui Hu, Yajie Zou, Shubo Wu, Siyang Zhang, Yue Zhang, Lingtao Wu
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引用次数: 0

Abstract

The present road traffic safety situation faces significant challenges. Examining the influences of diverse contributing factors on road traffic crashes is of crucial importance. However, different factors may have different influences as the change of location and time and the neglect of potential heterogeneity while modelling the frequency of traffic crashes may lead to biases in parameter estimation and incorrect inference. To address the unobserved spatiotemporal heterogeneity and accurately explore the correlations between contributing factors and fatal traffic crashes, a fixed effects panel model with structural breaks is applied to identify the influences of crucial factors on fatal traffic crashes from a macroscopic level. A multisource dataset, including fatal crash numbers, socioeconomic factors, laws and regulations and climate factors is collected from the United States spanning 45 years (from 1977 to 2021). The climate change events (i.e., El Niño–Southern Oscillation phenomena) are examined for their influences on fatal traffic crashes. The experimental results illustrate that high temperatures and frequent meteorological disasters have increasing impacts on fatal crash numbers. High precipitation shows a decreasing one from a macroscope level because of the lagged effect of precipitation on crashes across days. Particularly, the climate change events (including EP E1 Niño, CP E1 Niño and La Niña) represent an adverse impact on road traffic safety. Additionally, the states with similar meteorological characteristics are categorized as high temperature, high precipitation and frequent meteorological disaster subsets for separate analysis. Under these subsets, rural trip proportion becomes a more pronounced factor that affects fatal road traffic crashes, and helmet laws are more efficient in reducing fatal crash frequency. The research findings reveal an increasingly complex road traffic safety environment in the context of global warming, offering valuable perspectives for enhancing road traffic safety.

Abstract Image

探索气候变化对道路死亡的影响:宏观面板数据分析
当前道路交通安全形势面临重大挑战。研究各种因素对道路交通事故的影响是至关重要的。然而,不同的因素可能会产生不同的影响,如地点和时间的变化,以及在对交通事故频率建模时忽视潜在的异质性,可能导致参数估计偏差和不正确的推断。为了解决不可观测的时空异质性,准确探索交通事故影响因素与致命交通事故之间的相关性,采用结构断裂的固定效应面板模型,从宏观层面识别关键因素对致命交通事故的影响。从美国收集了一个多源数据集,包括45年(1977年至2021年)的致命事故数量、社会经济因素、法律法规和气候因素。研究了气候变化事件(即El Niño-Southern振荡现象)对致命交通事故的影响。实验结果表明,高温和频繁的气象灾害对致命碰撞数量的影响越来越大。高降水在宏观层面上呈现递减趋势,这是由于降水对事故的滞后效应。特别是气候变化事件(包括EP E1 Niño、CP E1 Niño和La Niña)对道路交通安全产生不利影响。另外,将气象特征相似的状态划分为高温、高降水和频繁气象灾害子集,单独分析。在这些子集下,农村出行比例成为影响致命道路交通碰撞的一个更明显的因素,头盔法在降低致命碰撞频率方面更有效。研究结果揭示了全球变暖背景下日益复杂的道路交通安全环境,为加强道路交通安全提供了有价值的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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