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A latent class analysis to understand riders’ adoption of on-demand mobility services as a complement to transit
Transportation ( IF 3.5 ) Pub Date : 2022-12-06 , DOI: 10.1007/s11116-022-10351-3
Yiyuan Wang 1 , Qing Shen 1, 2
Affiliation  

On-demand app-based shared mobility services have created new opportunities for complementing traditional fixed-route transit through transit agencies’ efforts to incorporate them into their service provision. This paper presents one of the first studies that rigorously examine riders’ responses to a pilot aimed at providing such a transit-supplementing service. The study conducts latent class analysis on riders of the Via to Transit program, a mobility pilot in the Seattle region where on-demand service was offered to connect transit riders to light rail stations. The analysis identifies three distinct rider groups with heterogenous responses to the on-demand service: (1) riders who previously used private cars or ride-hailing; (2) riders who were pedestrians and bikers but switched likely because of safety concern; (3) mostly socio-economically disadvantaged riders who previously relied on the bus, but switched to the new service for the convenience and speed. These results point to rich transportation policy implications, which can inform decision-making by public transit agencies as they are exploring alternative ways to deliver the mobility services.



中文翻译:


潜在类别分析,以了解乘客对按需出行服务作为交通补充的采用情况



基于应用程序的按需共享出行服务通过交通机构努力将其纳入其服务提供中,为补充传统的固定路线交通创造了新的机会。本文介绍了首批研究之一,该研究严格考察了乘客对旨在提供此类交通补充服务的试点项目的反应。该研究对“Via to Transit”计划的乘客进行了潜在类别分析,该计划是西雅图地区的一个交通试点项目,提供按需服务,将公共交通乘客连接到轻轨站。该分析确定了三个不同的乘客群体,他们对按需服务的反应各不相同:(1)以前使用过私家车或网约车的乘客; (2) 曾经是行人和骑车人但出于安全考虑而可能转换的骑手; (3) 大多数是社会经济上处于弱势的乘客,他们以前依赖公共汽车,但为了方便和快捷而转向新服务。这些结果表明了丰富的交通政策影响,可以为公共交通机构在探索提供出行服务的替代方式时的决策提供信息。

更新日期:2022-12-06
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