Determining the Optimum Service Area and Station Location for Personal Mobility Sharing Services

This study focused on station and dockless systems related to personal mobility sharing services in the midst of which is currently increasing. Based on relevant literatures that operating of these two systems in tandem was more efficient for urban management, a methodological framework was proposed with the combination of determining dockless personal mobility sharing service areas based on user preference and determining the station locations based on potential demand. This framework was applied to Geumjeong-gu, Busan, Korea. The results showed that approximately 33% of the case areas need to be designated as dockless service areas based on survey data. The required minimum number of stations was calculated by considering the travel distance between users and facilities, and the location of the stations (according to the number of random stations) were determined as a locations condition to minimize the sum of the travel distances. This framework is possible to suggest useful policies for attracting facilities, that is, planning for the number of facilities according to possible inputs from local governments and determining the capacity of stations based on the demand allocated to them.