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A Comprehensive Framework for Estimating Pedestrian OD Matrix Using Spatial Information and Integrated Smart Card Data

공간정보와 통합 스마트카드 자료를 활용한 도시철도 역사 보행 기종점 분석 기법 개발

  • JEONG, Eunbi (Transport Systems Research Team, Korea Railroad Research Institute) ;
  • YOU, Soyoung Iris (Transport Systems Research Team, Korea Railroad Research Institute) ;
  • LEE, Jun (Transport Systems Research Team, Korea Railroad Research Institute) ;
  • KIM, Kyoungtae (Transport Systems Research Team, Korea Railroad Research Institute)
  • 정은비 (한국철도기술연구원 교통체계분석연구팀) ;
  • 유소영 (한국철도기술연구원 교통체계분석연구팀) ;
  • 이준 (한국철도기술연구원 교통체계분석연구팀) ;
  • 김경태 (한국철도기술연구원 교통체계분석연구팀)
  • Received : 2017.08.23
  • Accepted : 2017.10.25
  • Published : 2017.10.31

Abstract

TOD (Transit-Oriented Development) is one of the urban structure concentrated on the multifunctional space/district with public transportation system, which is introduced for maintaining sustainable future cities. With such trends, the project of building complex transferring centers located at a urban railway station has widely been spreaded and a comprehensive and systematic analytical framework is required to clarify and readily understand the complicated procedure of estimation with the large scale of the project. By doing so, this study is to develop a comprehensive analytical framework for estimating a pedestrian OD matrix using a spatial information and an integrated smart card data, which is so called a data depository and it has been applied to the Samseong station for the model validation. The proposed analytical framework contributes on providing a chance to possibly extend with digitalized and automated data collection technologies and a BigData mining methods.

TOD (Transit-Oriented Development)는 대중교통 중심의 복합기능을 가진 집약적인 도시구조이며, 미래지향형 지속가능한 도시를 유지하기 위해 제시되는 개념이다. 최근 도시철도 역사를 중심으로 복합 환승센터 개발이 활발히 추진되고 있으며, 사업의 규모와 복잡성으로 인해 보다 과학적이고 객관적인 분석을 통한 계획과 유지관리 등이 요구되고 있다. 이에 따라, 본 연구에서는 공간정보와 통합 스마트카드 자료를 활용하여 도시철도 역사 보행 기종점 추정을 위한, 표준화된 분석 절차를 개발하고자 하였으며, 삼성역 사례 분석을 통해 제시된 분석 절차 및 방법에 대한 검증을 수행하였다. 본 연구에서 제시된 분석 절차는 자료 수집 기술과 빅데이터 DB 분석 기법 발전에 따라 유기적 확장 가능한 분석 환경을 마련하였다는 데 큰 의의를 가진다.

Keywords

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Cited by

  1. Identifying the Indoor Space Characteristics of an Urban Railway Station Based on Pedestrian Trajectory Data vol.2019, pp.None, 2017, https://doi.org/10.1155/2019/8401318