National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str, GR-15773 Athens, Greece.
National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str, GR-15773 Athens, Greece.
J Safety Res. 2023 Feb;84:41-60. doi: 10.1016/j.jsr.2022.10.007. Epub 2022 Oct 24.
In the unprecedented year of 2020, the rapid spread of COVID-19 disrupted everyday activities worldwide, leading the majority of countries to impose lockdowns and confine citizens in order to minimize the exponential increase in cases and casualties. To date, very few studies have been concerned with the effect of the pandemic on driving behavior and road safety, and usually explore data from a limited time span.
This study presents a descriptive overview of several driving behavior indicators as well as road crash data in correlation with the strictness of response measures in Greece and the Kingdom of Saudi Arabia (KSA). A k-means clustering approach was also employed to detect meaningful patterns.
Results indicated that during the lockdown periods, speeds were increased by up to 6%, while harsh events were increased by about 35% in the two countries, compared to the period after the confinement. However, the imposition of another lockdown did not cause radical changes in Greek driving behavior during the late months of 2020. Finally, the clustering algorithm identified a "baseline," a "restrictions," and a "lockdown" driving behavior cluster, and it was shown that harsh braking frequency was the most distinctive factor.
Based on these findings, policymakers should focus on the reduction and enforcement of speed limits, especially within urban areas, as well as the incorporation of active travelers in the current transport infrastructure.
在 2020 年这个前所未有的年份,COVID-19 的迅速传播扰乱了全球的日常活动,导致大多数国家实施封锁,限制公民出行,以最大限度地减少病例和死亡人数的指数级增长。迄今为止,很少有研究关注大流行对驾驶行为和道路安全的影响,而且通常只探索有限时间段内的数据。
本研究对希腊和沙特阿拉伯王国(KSA)的几项驾驶行为指标和道路碰撞数据进行了描述性概述,并与应对措施的严格程度相关联。还采用了 k-均值聚类方法来检测有意义的模式。
结果表明,与封锁后相比,在两国的封锁期间,速度最高增加了 6%,而恶劣事件增加了约 35%。然而,在 2020 年晚些时候,希腊再次实施封锁并没有导致驾驶行为发生重大变化。最后,聚类算法确定了“基线”、“限制”和“封锁”驾驶行为集群,并且表明急刹车频率是最具区别性的因素。
基于这些发现,政策制定者应关注限速的减少和执行,特别是在城市地区,并将积极出行者纳入当前的交通基础设施中。