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Determination of Service Areas and Operating Numbers for Free-floating Personal Mobility Sharing Services

First-mile과 Last-mile을 고려한 자유 주차방식(Free-floating) 개인형 이동장치 공유 서비스 권역 및 운영대수 결정

  • Sang-Wook Han (Dept. of Civil and Environmental Engineering, Seoul Nat'l Univ.) ;
  • Dong-Kyu Kim (Dept. of Civil and Environmental Engineering, Seoul Nat'l Univ., Institute of Construction and Environmental Engineering, Seoul Nat'l Univ.) ;
  • Sedong Moon (Institute of Construction and Environmental Engineering, Seoul Nat'l Univ.)
  • 한상욱 (서울대학교 건설환경공학부 ) ;
  • 김동규 (서울대학교 건설환경공학부, 서울대학교 건설환경종합연구소) ;
  • 문세동 (서울대학교 건설환경종합연구소)
  • Received : 2023.12.18
  • Accepted : 2024.02.26
  • Published : 2024.04.30

Abstract

Interest in personal mobility has increased with the growing significance of first-mile and last-mile connectivity in smart mobility services. This study aims to propose a methodology for setting the service area of free-floating personal mobility sharing services and determining the optimal fleet size for the selected shared service area to address first-mile and last-mile challenges. We utilize population data, smart card data, and building data. Additionally, we estimate latent demand by incorporating age-specific and distance-specific utilization rates based on personal mobility device data. Along with the latent demand, we determine the service area based on locations of transit stops and buildings. We apply the proposed methodology to Yeongjong Island, Incheon. As a result, dense residential areas and popular beachside locations are designated as personal mobility sharing service areas. The fleet size for personal mobility in the dense residential service area is determined to be 1,022 units, while the fleet size for the beachside service area is set at 269 units.

개인형 이동장치에 대한 관심은 스마트 모빌리티 서비스에서 first-mile 및 last-mile 중요성이 증가함에 따라 높아졌다. 본 연구는 first-mile 및 last-mile 문제를 해결하기 위해 자유 주차방식(free-floating) 개인형 이동장치 공유 서비스 권역 설정 방법론을 제시하고 선정된 공유 서비스 권역을 대상으로 최적의 개인형 이동장치 운영 대수 결정을 목표로 한다. 인구 데이터, 스마트 카드 데이터, 건물 데이터를 사용하였으며, 개인형 이동장치 데이터를 이용하여 연령별, 거리별 이용률을 반영하여 잠재수요를 추정하였다. 추정된 잠재수요와 함께 대중교통 정류장과 건물의 위치를 기반으로 개인형 이동장치 공유 서비스 권역을 설정하였다. 인천 영종도를 대상지로 제안된 방법론을 적용한 결과 거주지가 밀집된 지역과 여행객들이 많은 해변 근처가 개인형 이동장치 공유 서비스 권역으로 선정되었다. 거주지가 밀집된 서비스 권역의 개인형 이동장치 운영대수는 1,022대, 해변 근처 서비스 권역의 개인형 이동장치 운영대수는 269대로 결정되었다.

Keywords

Acknowledgement

본 연구는 현대자동차 지원 인천 스마트시티 챌린지사업 마스터플랜 수립 용역과제의 데이터를 이용하여 수행하였습니다. 또한, 이 연구는 한국연구재단 BK21 PLUS 사업의 지원을 받아 수행된 연구입니다.

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