关键词: COVID-19 Park and ride Post-pandemic Reliability Transit resilience

来  源:   DOI:10.1016/j.trf.2023.03.014   PDF(Pubmed)

Abstract:
The COVID-19 virus has unimaginably disrupted the transit system and its overall functions. Users\' vigilant safety concerns posed by the pandemic and the consequent transit avoidance behaviour for a prolonged period could have lasting impacts on their transit preferences, leaving transit agencies to search for effective post-pandemic transit resilience policies. This study examines potential post-pandemic interventions and pandemic-induced psychological attributes impacting the future transit choice behaviour of non-transit users of the pandemic. It utilised data from a transit demand and choice adaptation survey in the Greater Toronto Area, Canada. A two-stage model was formulated to jointly capture the pre-pandemic transit usage choices of those who did not make transit trips during the pandemic and the respective post-pandemic transit choices for these user groups. The models depicted that the post-pandemic transit choices were inversely affected by one\'s pandemic concerns. In contrast, the choices were positively influenced by respondents\' views on post-pandemic transit usage and keeping the adopted safety policies in place. Regarding the conventional level of service attributes, paid park and ride facilities enhanced the probability of post-pandemic transit choice almost by 15% for occasional users. In comparison, the changes due to reliable service ranged from 10 to 11% for pre-pandemic users. Analogous propensity was seen for fare schemes offering free transfers between cross borders and 25% or more off-peak discounts on base fares. Moreover, more direct transit routes and increased parking costs by vehicular modes post the pandemic encourage travellers to retake transit.
摘要:
COVID-19病毒已经无法想象地破坏了运输系统及其整体功能。大流行引起的用户警惕的安全问题以及随之而来的长期过境避让行为可能会对他们的过境偏好产生持久影响,让过境机构寻找有效的大流行后过境复原力政策。这项研究考察了大流行后的潜在干预措施和大流行引起的心理属性,这些属性会影响大流行的非过境用户的未来过境选择行为。它利用了大多伦多地区交通需求和选择适应调查的数据,加拿大。制定了一个两阶段模型,以共同捕获大流行期间未进行过境旅行的人的大流行前过境使用选择以及这些用户组的大流行后过境选择。模型显示,大流行后的过境选择受到大流行担忧的反向影响。相比之下,这些选择受到受访者对大流行后过境使用和保持所采用安全政策的看法的积极影响。关于传统级别的服务属性,付费停车和乘车设施使偶尔使用的人在大流行后选择过境的可能性提高了近15%。相比之下,对于大流行前的用户,由于可靠的服务而产生的变化从10%到11%不等。类似的倾向出现在票价计划中,该计划提供跨境之间的免费接送以及基本票价的25%或更多的非高峰折扣。此外,大流行后,更直接的过境路线和车辆模式增加的停车成本鼓励旅行者重新过境。
公众号