Abstract
Mobility as a service (MaaS) integrates various transportation modalities and connects these modalities to enable users to travel from departure points to destination points. The objectives of this study were to analyze the factors influencing the intention to use MaaS and determine a direction for the implementation of this service. Hence, this study utilized an ordered probit model and marginal effect analysis. Specifically, a survey was conducted based on citizens living in Gyeonggi-do, South Korea, to prepare logical MaaS operation measures customized in this province. Subsequently, variables related to MaaS were classified, and statistical analysis was performed based on these variables. The need for integrated transportation service, intention to use shared mobility, gender, household income, and region are found to have significant effects. Moreover, demographic groups with high levels of intention to use MaaS were identified. Finally, the intention to use MaaS was found to be mainly affected by whether public transportation was the primary means of transportation or whether the subjects spent a comparatively long time commuting. It is expected that these findings will serve as the basis for MaaS implementation in the future and will also be used as fundamental data for transportation service planning.
Highlights
Vehicle ownership has recently increased associated negative impacts, causing considerable energy consumption, insufficient parking space, and a rise in the cost of vehicle ownership [1]
We classified variables related to the intentions of users to utilize mobility as a service (MaaS) based on a 5-point Likert scale and established a model based on the variables classified and an ordered probit method
The result of analyzing the factors influencing the intention to use MaaS showed that 7 variables among 11 independent variables had statistically significant effects (p-value < 0.1) on the intention to use MaaS; need for integrated transportation service (p = 0.000), intention to use shared mobility (p = 0.000), gender (p = 0.065), main means of transportation (p = 0.035), amount of time required for commuting (p = 0.048; p = 0.058), household income (p = 0.059; p = 0.044), and region of residence (p = 0.087)
Summary
Vehicle ownership has recently increased associated negative impacts, causing considerable energy consumption, insufficient parking space, and a rise in the cost of vehicle ownership [1] To solve these problems, countries have developed alternative measures for increasing the convenience of transport service users and providing them with shorter travel times [2]. The concept of mobility as a service (MaaS), which provides an integrated platform for various means of transportation, has recently received great attention as a main method of solving existing traffic issues [3] This service provides an integrated platform for various means of transportation, including cars, buses, subways, and bicycles, and suggests an appropriate customized solution for individual users by connecting the means of transportation these users need to travel from their departure points to destination points [4].
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