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新冠疫情对出行方式选择行为的影响:以孟加拉国达卡为例的研究

Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh.

作者信息

Paul Tonmoy, Chakraborty Rohit, Afia Ratri Salma, Debnath Mithun

机构信息

Department of Civil Engineering, Ahsanullah University of Science and Technology, Bangladesh.

Christopher B. and Susan S. Burke Graduate Program in Civil Engineering, Lyles School of Civil Engineering, Purdue University.

出版信息

Transp Res Interdiscip Perspect. 2022 Sep;15:100665. doi: 10.1016/j.trip.2022.100665. Epub 2022 Jul 26.

Abstract

To ensure safety against the COVID-19, along with all other countries, Bangladesh as a least-developed country needs to deal with the changes in travel behavior, particularly changes in mode choice behavior. As Dhaka has been marked as a hotspot for the virus contagion, this paper has focused on the changes in mode choice behavior of Dhaka people due to the COVID-19 pandemic while they are on the road. A web-based questionnaire survey was conducted to capture the information on mode preferences and perspectives on travel characteristics for commute and discretionary trips before and during COVID-19. Multinomial Logit (MNL) model based on a utility function has been used to investigate the significance of the socio-demographic attributes and travel characteristics of the trips on the mode choice behavior and to calculate the maximum utility of the mode choice. This study highlighted some noticeable changes in perspective towards mode choice. People prefer walking, private cars, and rickshaw more during the pandemic as they feel these modes are more reliable, available, and cost-effective in this crucial time. Usage of public transportation dropped drastically for discretionary purposes. Additionally, usage of the on-demand vehicle increased during the pandemic as a large portion of commuters shifted to on-demand vehicles from public transportation. Furthermore, this paper suggested some viable policy-making implications to cope with the current pandemic and relatable future national and global crises. Finally, the paper concludes by suggesting some future research insights.

摘要

为确保防范新冠病毒,与所有其他国家一样,作为最不发达国家的孟加拉国需要应对出行行为的变化,尤其是出行方式选择行为的变化。由于达卡已被标记为病毒传播热点地区,本文重点关注了达卡居民在新冠疫情期间出行时出行方式选择行为的变化。开展了一项基于网络的问卷调查,以获取新冠疫情之前和期间通勤及非必要出行的出行方式偏好信息以及对出行特征的看法。基于效用函数的多项逻辑回归(MNL)模型已被用于研究出行的社会人口属性和出行特征对出行方式选择行为的重要性,并计算出行方式选择的最大效用。本研究突出了出行方式选择观念上的一些显著变化。在疫情期间,人们更喜欢步行、私家车和人力车,因为他们觉得在这个关键时期这些出行方式更可靠、更便利且更具成本效益。出于非必要目的,公共交通的使用量大幅下降。此外,在疫情期间按需用车的使用量有所增加,因为很大一部分通勤者从公共交通转向了按需用车。此外,本文提出了一些可行的政策制定建议,以应对当前的疫情以及未来相关的国家和全球危机。最后,本文通过提出一些未来研究见解得出结论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/9326223/472e0c44675b/gr1_lrg.jpg

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