Title Analysis of Usage Behavior of Shared E-Scooters Using GPS Data
Authors 안다은(Da-Eun Ahn) ; 이경환(Kyung-Hwan Lee)
DOI https://doi.org/10.5659/JAIK.2023.39.7.3
Page pp.3-12
ISSN 2733-6247
Keywords E-scooter; E-scooter Usage Behavior; Influencing Factors; GPS data; Personal Mobility
Abstract This study aims to analyze the usage behavior of shared e-scooter users based on GPS data. By examining the characteristics of user behavior and classifying them according to their purpose of use, three types were identified: type one is commuting as a single section type, type two is leaving work and personal life, and type three is personal life. The average travel distances for each type were found to be 0.76km, 1.58km, and 1.38km, respectively. Additionally, this study examined the usage behavior based on the purpose and type of travel. It was observed that when e-scooters were used for commuting, the movement radius was narrow. On the other hand, for leisure purposes, the activity radius was wider, and users utilized various streets. Furthermore, the findings from the interview analysis revealed that enhancing vehicle and pedestrian awareness, providing safety helmets, encouraging the utilization of alternative shared transportation modes, and implementing a fare discount system would yield positive outcomes in terms of promoting shared mobility and mitigating environmental pollution.