Analysis method of customization settings for Mobility as a Service

Mobility as a Service (MaaS) is proposed as a user-centric mobility and information service. Accordingly, various manual customization settings are available in MaaS applications. Customization and personalization opportunities of applications have been studied in much research in qualitative way, but quantitative analyses are still missing. Our research objective is to fill this research niche by introduction of quantitative analysis method to evaluate customization settings. The main functions with customization opportunities are summarized, then the scoring evaluation criteria are determined, and finally the coefficient of variation method is applied to calculate the weights of functions. We have evaluated 20 MaaS applications by our method. We found that route setting of journey planning function, functions to provide additional information and services, are assigned with relatively higher weights; Accordingly, the application `MyCircero' from Italy obtain the highest grade. Considering `mobility for all' and personalization tendency, we recommend to involving more precise settings for mobility-impaired in route setting, and to develop various setting options for tourists. Our results facilitate the functional planning and development of MaaS applications.