Impacts of COVID-19 Pandemic Lockdown on Road Safety in Bangladesh

Author:

Islam Shahrin12,Huq Armana Sabiha1,Iqra Sabah Hossain1,Tomal Raas Sarker12ORCID

Affiliation:

1. Department of Civil Engineering, Bangladesh University of Engineering & Technology, Dhaka 1000, Bangladesh

2. Department of Civil Engineering, Bangladesh University of Business & Technology, Dhaka 1216, Bangladesh

Abstract

The purpose of this research is to demonstrate the trends of crashes, injuries, and fatalities under the effect of the lockdown and observe the deviation of these trends from the anticipated values that would have been seen without the impact of the lockdown. To that end, data on road collisions, injuries, and fatalities in Bangladesh were compiled over four years (from January 2016 to May 2020) using the dataset from the Accident Research Institute (ARI). The pre-pandemic and lockdown period during the pandemic were included in the selected study period. To compare the observed values of the number of crashes, injuries, and fatalities to the forecasted values, which were meant to show assumed conditions without the emergence of the COVID-19 pandemic, different Autoregressive Integrated Moving Average (ARIMA) time series models were developed for each first-level administrative divisions (Dhaka, Chattogram, Khulna, Barishal, Rajshahi, Sylhet, Rangpur, and Mymensingh). Due to the mobility restrictions, the observed number of collisions, injuries, and deaths remained below the expected values, with a discernible high difference throughout the entire lockdown in Dhaka and Chattogram. In contrast, in the case of other divisions (Khulna, Barishal, Rajshahi, Sylhet, Rangpur, and Mymensingh), it remained under the expected trend for most of the lockdown period but not entirely. The mobility was not eliminated, resulting in a non-zero crash, injury, and fatality records across all divisions. In multiple instances, we observed that actual collision, injury, and fatality rates were higher than expected. Additionally, various divisions exhibited varying patterns of crashes, injuries, and fatalities during stay-at-home orders. Poor performance has been noted in terms of overall road safety during the pandemic era. Given the possibility of future waves of COVID-19 cases and other pandemics, the results of the current study can be used by local authorities and policymakers to improve road safety.

Funder

Bangladesh University of Business and Technology

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference65 articles.

1. An Emerging Coronavirus Causing Pneumonia Outbreak in Wuhan, China: Calling for Developing Therapeutic and Prophylactic Strategies;Jiang;Emerg. Microbes Infect.,2020

2. (2022, October 20). WHO-Convened Global Study of Origins of SARS-CoV-2: China Part. Available online: https://www.who.int/publications/i/item/who-convened-global-study-of-origins-of-sars-cov-2-china-part.

3. (2022, October 20). The Pandemic’s True Death Toll | The Economist. Available online: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates.

4. An Interactive Web-Based Dashboard to Track COVID-19 in Real Time;Dong;Lancet Infect. Dis.,2020

5. Editorial JTH 16—The Coronavirus Disease COVID-19 and Implications for Transport and Health;Musselwhite;J. Transp. Health,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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