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Analysis of Usage Behavior of Shared E-Scooters Using GPS Data - A Case Study of Gangnam-gu, Seoul -

GPS데이터를 활용한 공유 전동킥보드 이용행태 실증분석 - 서울시 강남구를 대상으로 -

  • Da-Eun Ahn (Dept. of Urban Systems Engineering, Kongju National University) ;
  • Kyung-Hwan Lee (Dept. of Urban Systems Engineering, Kongju National University)
  • 안다은 (공주대학교 도시융합시스템공학과) ;
  • 이경환 (공주대학교 도시융합시스템공학과)
  • Received : 2022.11.18
  • Accepted : 2023.06.30
  • Published : 2023.07.28

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.

Keywords

References

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