PDF(Pubmed)
Abstract：
The COVID-19 pandemic had a significant impact on travel mode choices in cities across the world. Driven by perceptions of risk and the fear of infection, the pandemic resulted in an increased preference for private vehicles and active modes and a reduced preference for public transit and ride-sourcing. As travel behavior and modal preferences evolve, a key question is whether the pandemic will result in long-term changes to travel mode choices. This study uses data from a web-based survey to examine the factors influencing mode choices for non-commuting trips in the post-pandemic era. Specifically, it uses stated preference data to develop a random parameter mixed logit model, which is used to compare the elasticity of key variables across different income and age groups. The results of the study highlight the influence of sociodemographic attributes and pre-pandemic travel habits on anticipated post-pandemic mode choices. Additionally, the results suggest that frequent users of private vehicles, public transit, and active modes are likely to continue to use these modes post-pandemic. Furthermore, the results highlight the potential for the perception of shared modes to influence post-pandemic mode choice decisions. The results of the study offer insights into policy measures that could be applied to address the increased use of private vehicles and reduced use of transit during the pandemic, while also emphasizing the need to ensure that certain segments of the population can maintain a sufficient level of mobility and access to transport.
摘要：
COVID-19大流行对世界各地城市的旅行方式选择产生了重大影响。在对风险的认知和对感染的恐惧的驱使下，大流行导致对私人车辆和主动模式的偏好增加，对公共交通和乘车采购的偏好降低。随着旅行行为和模态偏好的发展，一个关键问题是，大流行是否会导致旅行方式选择的长期变化。本研究使用基于网络的调查数据来研究大流行后时代影响非通勤旅行方式选择的因素。具体来说,它使用陈述偏好数据来开发随机参数混合logit模型，用于比较不同收入和年龄组的关键变量的弹性。研究结果强调了社会人口统计学属性和大流行前的旅行习惯对预期的大流行后模式选择的影响。此外,结果表明，频繁使用私家车，公共交通,积极模式可能会在大流行后继续使用这些模式。此外，结果强调了对共享模式的感知可能会影响大流行后的模式选择决策.研究结果提供了有关政策措施的见解，这些措施可用于解决大流行期间私人车辆的使用增加和过境的使用减少，同时还强调需要确保人口的某些部分能够保持足够的流动性和获得运输的机会。
