How did the COVID-19 pandemic impact traveler behavior toward public transport? The case of Athens, Greece
How did the COVID-19 pandemic impact traveler behavior toward public transport? The case of Athens, Greece
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DOI：
10.1080/19427867.2021.1901029
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发表时间：
2021-03-25
影响因子：
2.8
通讯作者：
Vlachogianni, Eleni, I
中科院分区：
文献类型：
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作者：
Kopsidas, Athanasios;Milioti, Christina;Vlachogianni, Eleni, I
COVID-19爆发导致日常通勤发生重大变化。由于地球仪的大都市地区实施封锁，旅客尽量避免使用公共交通工具，以保持社交距离。本文基于希腊雅典的数据，调查了大流行后旅客使用公共交通的预期行为。重点分析影响公共交通使用者疫情后恢复时间的因素，即旅客在疫情爆发后逐步退出及放宽封城措施后避免使用公共交通工具的时间。使用聚类算法和离散持续时间模型进行分析。这两种方法都强调了一个事实，即在大流行之前使用公共交通的频率沿着旅行者的年龄，会影响他们在恢复时间方面的行为。离散持续时间模型的结果还表明，自雇人士和主要使用私家车的旅行者在疫情爆发后不太可能使用公共交通工具。关于影响公共交通使用的COVID-19安全相关认知的心理因素，愿意在旅行时使用防护装备的旅行者也不太可能返回公共交通工具。这项研究的结果可能对政策制定有用，这表明在后大流行时代促进公共交通使用的有效营销策略应侧重于具有特定社会人口统计和旅行特征的旅行者。
The COVID-19 outbreak led to significant changes in daily commuting. As lockdowns were imposed to metropolitan areas throughout the globe, travelers refrained heavily from using public transport, to maintain social distancing. Based on data from Athens, Greece, this paper investigates the anticipated, post-pandemic behavior of travelers with respect to public transport use. Focus is given on analyzing those factors that affect post-pandemic recovery time of public transport users, i.e. the time travelers would refrain from using public transport, following a gradual exit from the pandemic outbreak and relaxation of lockdowns. The analysis is performed using both a clustering algorithm and a discrete duration model. Both methodologies highlighted the fact that the frequency of using public transport before the pandemic along with the travelers' age, influence their behavior in terms of recovery time. Results from the discrete duration model suggest also that self-employed and travelers who mostly use private vehicles, are less likely to use public transport after the outbreak. Concerning the psychological factors that shape COVID-19 safety-related perceptions that affect public transport use, travelers who would be willing to use protection gear when traveling with are also less likely to return to public transport. Findings of this study could be useful for policy making, suggesting that efficient marketing strategies toward promoting public transport usage in a post-pandemic era should focus on travelers with specific socio-demographic and travel characteristics.