The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Author:

Zhang Hengyi1,Ci Yusheng1ORCID,Huang Yikang1,Wu Lina2

Affiliation:

1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China

2. School of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin 150050, China

Abstract

The COVID-19 pandemic has had a substantial impact on the lives of city residents and has reshaped working patterns, with a concomitant impact on traffic accidents. We correlated data from multiple sources to explore the impact of residents’ mobility and residents’ travel behavior on the spatiotemporal distribution characteristics of urban traffic accident hotspots and its internal mechanism under the impact of the pandemic and subsequent policy measures. The results showed that the pandemic and policy measures inhibited the mobility of residents, had a significant impact on working patterns, and changed the composition structure of the purpose of residents’ travel behavior, which substantially impacted the spatiotemporal distribution characteristics of urban traffic accident hotspots. The quantity of traffic accidents decreased significantly, and the spatial distribution characteristics of urban traffic accident hotspots changed substantially, with accident hotspots changing from the single-center spatial distribution before the pandemic to the multi-center spatial distribution during the pandemic; urban accident-prone areas changed from being mainly distributed in the central business district before the pandemic to being more widely distributed in public service areas during the pandemic. The results of this study may be helpful to better understand the spatiotemporal distribution characteristics of urban traffic accident hotspots and their intrinsic mechanism.

Funder

National Key R & D Program of China

Publisher

MDPI AG

Reference60 articles.

1. (2024, January 12). Global Status Report on Road Safety 2018. Available online: https://www.who.int/publications/i/item/9789241565684.

2. Modeling traffic accident occurrence and involvement;Radwan;Accid. Anal. Prev.,2000

3. Analyzing driver behavior under naturalistic driving conditions: A review;Singh;Accid. Anal. Prev.,2021

4. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling;Wang;Accid. Anal. Prev.,2021

5. A systematic mapping review of surrogate safety assessment using traffic conflict techniques;Arun;Accid. Anal. Prev.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3