英文摘要 |
In recent years, due to the rise of cloud computing and sharing economy, Mobility as a Service (MaaS) which combines the functions of mobile devices and needs of mobility has become one of the most important policies in transportation departments around the world. However, MaaS is a brand new concept. The way to decide the service package and price is still in the stage of development. This study aims to use the contingent valuation method (CVM) and Tobit model to estimate the willingness to pay (WTP) of Mobility as a Service. The study obtained the information from questionnaires by double-bounded dichotomous choice with open-ended followed up method and explored passenger's willingness to pay as well as its influence factors by Tobit model and starting point bias model. Hamasen District in Kaohsiung City, which was hosting Eco-Mobility Festival has been selected for case study. The findings of case study show that the influence factors of willingness to pay include perception of products, travel experience and social background. It is also shown from the estimation results of Tobit analysis that if the service package includes bus, MRT and pubic bike, which are the most popular transportations in Kaohsiung, the user's willingness to pay of MaaS is NT$ 954 in all samples with the confidence interval between NT$ 930 and NT$ 978. The willingness to pay in the same condition is NT$ 900 for the student group with the confidence interval between NT$ 873 and NT$ 928 while it is NT$ 981 for non-student group with the confidence interval NT$ 979 to NT$ 1,014. Research results could be considered as references for planning and design of MaaS package. |