This paper presents a study in examining the desired savings in travel time per trip and travel cost per month that would motivate people to switch to ride-sourcing options. Simultaneous regression models with latent constructs were employed to estimate the expected time and cost savings. The presence of latent constructs accounts for the endogeneity in personal attitudes while the simultaneity allows the analyst to evaluate the potential correlation between the two decisions. Various socioeconomic and demographic variables and personal attitudes were explored in the model to investigate their potential influence on the willingness to adopt ride-sourcing. Analysis based on the survey data indicated an average desired time saving of 20 min per trip, and an average desired cost saving of $116 per month to switch to on-demand services. Accordingly, individuals younger than 25 years old, between 55 and 59, those with lower education levels, Asians, low income individuals, people with previous ride-sourcing experience, and those who did not favor private car ownership showed lower expectations in view of both travel time and travel cost savings and therefore, were more willing to adopt on-demand services. On the contrary, people aged 30–39 years old (older Millennials), highly auto-dependent individuals, self-employed, people who hardly trust strangers, and those who value private ownership advantages such as privacy and convenience would demand higher savings to convince them to adopt ride-sourcing. This study provides an approach to evaluating the propensity of ride-sourcing usage in view of the desired travel time and cost savings. A better understanding on the magnitude of time and cost savings needed to motivate the public to switch to ride-sourcing options would provide policy makers with valuable information in designing effective and efficient policies and strategies in promoting shared mobility options.

本文提出了一项研究，目的是检验每次旅行所需的旅行时间和每月节省的旅行成本，这将激励人们转向乘车出行选择。使用具有潜在构造的同时回归模型来估计预期的时间和成本节省。潜在构造的存在说明了个人态度的内生性，而同时性使分析人员可以评估两个决策之间的潜在相关性。在模型中探索了各种社会经济和人口变量以及个人态度，以调查它们对采用乘车来源的意愿的潜在影响。根据调查数据进行的分析表明，每次旅行平均可节省20分钟的时间，而切换到按需服务则平均每月可节省116美元。因此，25岁以下，55岁至59岁之间的人，受教育程度较低的人，亚洲人，低收入人士，有过乘车出行经验的人以及不赞成私家车拥有的人，由于两者的出行时间都较低和节省旅行成本，因此，他们更愿意采用按需服务。相反，年龄在30-39岁的人（千禧一代年龄较大），高度依赖汽车的个体，个体经营者，几乎不信任陌生人的人以及重视私有权（例如隐私和便利性）的人会要求更高的储蓄以说服他们采取搭车来源。这项研究提供了一种方法，可以根据所需的出行时间和节省的成本来评估乘车来源的使用倾向。