Jen-Jia LIN, National Taiwan University, Taiwan
Qing-Qian GUO, National Taiwan University, Taiwan
In the recent years, electric scooter sharing systems (ESSSs) have been getting popular in European and Asian cities but the existing literature provides very limited information about ESSSs. To fill the research gap, this research aims to explore the associations of built environments with idle time of a shared electric scooter. The study data was from the global positioning system (GPS) records of an anonymous ESSS operator in Taipei, Taiwan. By applying spatial data analysis and survival analysis methods, the built environment determinants of idle time of a shared scooter were clarified. The empirical results reveal that multiple built environment attributes were significantly related to idle time of a shared scooter and the relationships were different among different spatial or temporal conditions. The empirical findings not only benefit theory developments of shared mobility but also provide ESSS operators with valuable information to develop efficient operation strategies.
Mots clés : electric scooter sharing service|idle time|survival analysis|Cox proportional hazards model|built environment
A102387JL