수도권 광역도시철도 하루 시간대별 이용 빈도에 의해 구분된 역 집단과 통행자의 통행 연쇄 패턴 간 관계

Relationship between Diurnal Patterns of Passenger Ridership and Passenger Trip Chains on the Metropolitan Seoul Metro System

  • 이금숙 (성신여자대학교 지리학과) ;
  • 박종수 (성신여자대학교 IT학부) ;
  • 김호성 (성신여자대학교 미디어커뮤니케이션학과) ;
  • 조창현 (경희대학교 지리학과)
  • Lee, Keum-Sook (Department of Geography, Sungshin Women's University) ;
  • Park, Jong-Sook (School of Information Technology, Sungshin Women's University) ;
  • Kim, Ho-Sung (Department of Media Communication, Sungshin Women's University) ;
  • Joh, Chang-Hyeon (Department of Geography, Kyung Hee University)
  • 투고 : 2010.06.08
  • 심사 : 2010.10.21
  • 발행 : 2010.10.31

초록

본 연구는 수도권 광역도시철도 이용에서의 통행 연쇄 패턴으로 구분한 이용자 집단 특성과 총 이용 빈도 및 시간대 별 이용빈도로 구분한 역 집단 특성 간의 관계를 분석함으로써 수도권 광역도시철도 역 이용의 일반 특성을 규명하였다. 이를 위해 2005년도 6월 하루 동안 수도권 광역도시철도 전체 357개 역을 이용한 274만여 명의 역 이용지를 11개 통행 연쇄 패턴으로 구분하고, 이 중 2통행 수 이하의 단순 통행 5개 패턴에 해당하는 240만여 명의 통행 자료를 분석하였다. 분석 결과 이용객 수 및 시간대 별 출발 및 도착 비율에 근거하여 4개의 역 집단 구분이 가능하였으며, 특히 역 집단 간에는 계층적 구조가 존재함을 알 수 있었다. 또한 하루 동안의 역 이용 빈도가 역 집단 별로 일관된 차이를 보이는 것은 모든 이용자 집단에 있어 동일하나, 시간대 별 이용 비율은 역 이용자의 최초 통행의 도착역이 최종 통행의 출발역과 같은가 여부, 최초 통행의 출발역이 최종 통행의 도착역과 같은가 여부 등에 따라 달라짐을 알 수 있었다.

This study investigates the diurnal pattern of transit ridership in the Metropolitan Seoul area. For the purpose, we use a weekday Smart Card passenger transaction data in 2005. Eleven passenger trip patterns are found from 2.74 million passengers moving on the Metropolitan Seoul Metro system. Among them, we analyze 2.4 million passengers blonging to five trip types having only one or two transaction record during a day. A total of 357 metro stations are classified to four types according to their diurnal pattern of passenger riderships. We analyze the relationships between passenger's trip chain patterns and subway station's diurnal transit ridership patterns. The result shows that the ratio of the number of passengers of particular time of the day is hierarchically related with trip chain patterns.

키워드

과제정보

연구 과제 주관 기관 : 한국학술진흥재단

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