Singh Jyotsna, Homem de Almeida Correia Gonçalo, van Wee Bert, Barbour Natalia
Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, Netherlands.
Transport and Planning Group, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, Netherlands.
Transp Res Part A Policy Pract. 2023 Apr;170:103628. doi: 10.1016/j.tra.2023.103628. Epub 2023 Feb 22.
After the outbreak of COVID-19 pandemic, crowding has been highlighted as a risk factor for contracting acute respiratory infections (ARIs) such as COVID-19, which has affected the demand for public transport. Although several countries, including the Netherlands, have implemented differential fare systems for peak and off-peak travel to reduce crowding during the rush hours, the problem of overcrowding on trains has remained prevalent and is expected to cause more disutility than even before the pandemic. A stated choice experiment in the Netherlands is conducted to understand the extent to which people can be motivated to change their departure time to avoid crowded trains during rush hours by offering them real-time information on on-board crowding levels and a discount on the train fare. To gain further insights into how travelers respond to crowding and capture unobserved heterogeneity in the data, latent class models have been estimated. Unlike the previous studies, the respondents were segregated into two groups before the start of the choice experiment based on their indicated preference to schedule a delay earlier or later than their desired departure. To study the change in travel behavior during the pandemic, the context of different vaccination stages was also provided in the choice experiment. Background information collected in the experiment was broadly categorized as socio-demographic, travel and work-related factors, and attitudes towards health and COVID-19. It was found that the coefficients obtained for the main attributes which were presented in the choice experiment (on-board crowd levels, scheduled delay and discount offered on full fare) were found statistically significant, and in line with previous research. It was concluded that when most of the people are vaccinated in the Netherlands, the travelers become less averse to on-board crowding. The research also indicates that certain groups of respondents, such as those who are highly crowd averse, and are not students, can be motivated to change their departure time if real-time crowding information was provided. Other groups of respondents who were found to value fare discounts can also be motivated to change their departure by similar incentives.
新冠疫情爆发后,拥挤被视为感染新冠等急性呼吸道感染(ARI)的风险因素,这影响了公共交通需求。尽管包括荷兰在内的几个国家已实施高峰和非高峰时段的差异化票价系统,以减少高峰时段的拥挤,但火车过度拥挤问题依然普遍,预计会比疫情前造成更多不便。荷兰开展了一项陈述偏好实验,旨在了解通过向人们提供列车上拥挤程度的实时信息以及票价折扣,能在多大程度上促使他们改变出发时间,以避免高峰时段列车拥挤。为了进一步深入了解旅行者对拥挤的反应并捕捉数据中未观察到的异质性,已估计了潜在类别模型。与之前的研究不同,在选择实验开始前,根据受访者表示倾向于将出行延迟安排在期望出发时间之前或之后,将受访者分为两组。为研究疫情期间出行行为的变化,选择实验中还提供了不同疫苗接种阶段的背景信息。实验中收集的背景信息大致分为社会人口统计学、旅行和工作相关因素以及对健康和新冠疫情的态度。结果发现,选择实验中呈现的主要属性(列车上的拥挤程度、预定延迟和全票价折扣)的系数具有统计学意义,且与之前的研究一致。研究得出结论,当荷兰大多数人接种疫苗后,旅行者对列车上拥挤的厌恶程度降低。研究还表明,如果提供实时拥挤信息,某些受访者群体,如那些对拥挤高度厌恶且非学生的群体,可能会被促使改变出发时间。其他被发现重视票价折扣的受访者群体,也可能因类似激励而改变出行时间。