2024 Volume 10 Issue 1 Pages A_158-A_165
Demand transportation systems, which are pre-booked transportation services, have been widely implemented nationwide over the past few decades. Furthermore, in recent years, the utilization of AI technology has enabled efficient route planning and dispatch, as well as the ability to accommodate on-demand reservations. As a result, the improvement in convenience has led to an increase in demand. This study focused on AI on-demand transportation services in local small city. It aimed to explore appropriate fare settings through an analysis of the value of users' mobility. Moreover, the analysis was conducted using the Contingent Valuation Method (CVM), which is commonly used for measuring environmental values and similar purposes. Furthermore, using survey data and usage records, it was possible to conduct an analysis that considered factors such as usage frequency. The most significant feature of the data used in this study is the integration between the datasets. Finally, the user convenience was measured by using the feature of CVM.
