The impact of Covid-19 on main modes of transportation in Tehran: A study of competition and complementarity

Sina Karimi, Mahdi Samadzad, Gaele Lesteven
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Abstract

The Covid-19 pandemic had a significant impact on people's travel behaviour and their perception of various transportation modes. This paper presents the results of two cross-sectional surveys conducted in Tehran, Iran, during and after the pandemic. Multivariate ordered logit modelling is used to identify factors that influence usage and to explore their interrelationships by analysing correlations among the utility of the ordered frequency of use of the private car, public transportation, ride-hailing, and collective line taxi. Socioeconomic characteristics contribute significantly. Low-income individuals were more likely to use public transport during the pandemic, whereas university students and private sector employees were more prone to use ride-hailing. Women tended to use ride-hailing more, especially in the post-pandemic period. The findings suggest that while, on the whole, usage has increased for all modes in the post-pandemic period, in terms of commuting modal share, metro has gained substantially and private car has lost. Ride-hailing proved highly resilient in Tehran's mobility landscape. Correlation analysis indicated a clear contrast between private cars and public transport/collective line taxis, which is further heightened in the post-pandemic period. While ride-hailing complements both public transport and collective line taxis, it does not exhibit meaningful correlations with the private car.
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Covid-19 对德黑兰主要交通方式的影响:竞争与互补研究
Covid-19 大流行对人们的旅行行为及其对各种交通方式的看法产生了重大影响。本文介绍了大流行期间和之后在伊朗德黑兰进行的两次横截面调查结果。本文采用多变量有序对数模型,通过分析私家车、公共交通、叫车服务和集体线路出租车的有序使用频率效用之间的相关性,确定了影响使用的因素,并探讨了这些因素之间的相互关系。社会经济特征的影响很大。大流行期间,低收入人群更倾向于使用公共交通,而大学生和私营部门雇员则更倾向于使用打车服务。女性倾向于更多地使用打车服务,尤其是在疫情过后。研究结果表明,总体而言,在疫情过后,所有交通方式的使用率都有所上升,但就通勤交通方式所占比例而言,地铁的使用率大幅上升,而私家车的使用率则有所下降。事实证明,打车服务在德黑兰的交通格局中具有很强的适应性。相关性分析表明,私家车与公共交通/集体线路出租车之间存在明显的反差,这种反差在大流行后进一步加剧。虽然打车服务是对公共交通和集体线路出租车的补充,但它与私家车之间并不表现出有意义的相关性。
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