Geržinič Nejc, Cats Oded, van Oort Niels, Hoogendoorn-Lanser Sascha, Hoogendoorn Serge
Department of Transport and Planning, Delft University of Technology, Delft, Netherlands.
Transportmetr A Transp Sci. 2023 Feb 21;20(3):2179345. doi: 10.1080/23249935.2023.2179345. eCollection 2024.
On-demand mobility services (FLEX) are often proposed as a solution for the first/last mile problem. We study the potential of using FLEX to improve train station access by means of a three-step sequential stated preference survey. We compare FLEX with the bicycle, car and public transport for accessing two alternative train stations. We estimate a joint access mode and train station choice model. Estimating a latent class choice model with different nesting structures, we uncover four distinct segments in the population. Two segments (∼50%) with a lower Willingness-to-Pay seem to be more likely to take-up FLEX. Ex-urban car drivers seem to be the most likely segment to adopt FLEX, showing great, since members of this segment are currently frequent users of the private car. Our case study also shows that while FLEX competes primarily with public transport when accessing local stations, it competes primarily with car for reaching distant stations.
按需出行服务（FLEX）常被提议作为解决首/末英里问题的方案。我们通过一项三步序贯陈述偏好调查研究了使用FLEX改善火车站可达性的潜力。我们将FLEX与自行车、汽车和公共交通在前往两个备选火车站时进行了比较。我们估计了一个联合出行方式和火车站选择模型。通过估计具有不同嵌套结构的潜在类别选择模型，我们发现人群中存在四个不同的细分群体。两个支付意愿较低的细分群体（约占50%）似乎更有可能采用FLEX。城市外围的汽车驾驶者似乎是最有可能采用FLEX的细分群体，这一点很明显，因为该细分群体的成员目前是私家车的频繁使用者。我们的案例研究还表明，虽然在前往当地车站时FLEX主要与公共交通竞争，但在前往较远车站时它主要与汽车竞争。
