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델파이 기법을 활용한 실시간 수요대응 자율주행 대중교통서비스 도입 방안 연구

A Study on Introducing Autonomous Public Transportation On-demand Service in Real Time Using Delphi Method

  • 정준영 (한국교통안전공단 교통조사평가처) ;
  • 심상우 (한국교통안전공단 교통조사평가처) ;
  • 김민석 (한국교통안전공단 교통빅데이터센터)
  • 투고 : 2021.11.25
  • 심사 : 2022.10.24
  • 발행 : 2022.10.31

초록

국내의 경우 대중교통 최소서비스 수준 분석을 통해 대중교통 접근성을 평가하고 있으나 이는 운영자 측면의 평가로 이용자 측면의 대중교통 접근성 분석은 이루어지지 않고 있다. 이에 본 연구에서는 알뜰교통카드 데이터를 이용하여 이용자의 대중교통 접근성을 분석한 결과 법정동보다 법정리의 접근시간 및 거리가 크며, 대중교통 접근성이 낮은 유형을 분류하여 분석한 결과 전체 평균 접근 시간에 비해 유형 1은 95%, 유형 2는 64% 더 크게 나타났다. 이러한 대중교통 접근성 문제 해결을 위해 델파이 조사를 통한 실시간 수요대응 자율주행 대중교통차량의 효율적인 도입 방안을 제시하고자 하였다. 델파이 조사 결과 기능은 환승연계 및 D2D, 서비스는 예약 및 정보제공서비스, 노선 운영 방식은 준동적 및 동적 운영, 접근거리는 300m, 노선 운행 거리는 10km, 정시성은 5분 이내와 같이 9개 항목에 대해 전문가들의 의견이 일치하였다.

Public transportation accessibility has been evaluated through minimum level of service for public transportation. However it is evaluated based operators rather than users. This study analyzed the users' accessibility(first-mile, last-mile) to public transportation using altteul transport card data. As a result of user's accessibility of public transportation, rural areas was lower than that in the urban areas. This study calssified type 1 and 2 based average approach time, and average approach time of Type 1 and 2 were more than average approach time of total area. We propsed an efficient introduction of autonomous public transportation on-demand service using delphi survey. As a result of delphi survey, experts agreed on 9 items regarding function, service item, route operation, approach distance, route mileage, punctuality.

키워드

과제정보

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 21AMDP-C161756-01).

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