수도권 광역철도망 확충에 따른 서울 대도시권 접근도 변화: 교통카드 빅데이터를 이용한 시간거리 산출 알고리즘 및 비고정성 교통망접근도 산출 모형의 개발과 적용
Accessibility Changes in the Metropolitan Seoul Subway System: Time-distance Algorithms based on the T-card Big Data and an Accessibility Measurement Model for Un-fixed Transportation Networks
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초록
본 연구의 목적은 2000년대 이후 수도권 광역철도망 확충에 따른 서울 대도시권 접근성의 변화를 분석하는 것이다. 이를 위하여 수도권 광역철도망과 같이 노선의 신설이나 확충으로 지속적으로 변화하는 비고정성 교통망의 세가지 거리비용을 중심으로 하는 접근도 산출모형을 제시한다. 특히 도시민의 통행에서 중요하게 작용하지만 자료 구득의 한계로 제한되었던 시간거리 접근도를 산출하기 위하여 교통카드 통행거래 빅데이터를 이용하여 역과 역 사이의시간거리(time distance)산출 알고리즘을 제시한다. 수도권 지역에서 교통카드가 본격적으로 도입된 이후의 두 시점2005년과 2011년의 동일한 조건을 가진 주중 평일 하루치 교통카드 통행자료를 이용하여 수도권 광역철도체계의 세가지 거리비용 접근성을 산출하고 그 결과를 비교분석한다.
Abstract
The purpose of this study is to investigate the changes in the accessibility of the MetropolitanSeoul Transit systems since 2000, in which many new subway lines have been constructed as well as otherurban transit lines have been connected to the systems. We suggest an accessibility measure model forUn-fixed Transportation Networks. In order to measure the nodal accessibility based on the mobility, weapply path-distance, physical-distance, and time-distance as the distance impedance measurement. Specifically,we develop time-distance algorithms to measure the time-distance between each pairs of transitstations based on the T-card transaction databases. We apply the model to the Metropolitan Seoul Transitsystems in two time points(2005 and 2011). We examine the results in terms of three distance accessibilitymeasures. Time-distance accessibility explains better the urban land use patterns in the MetropolitanSeoul area than the other two. We visualize the spatial patterns of time-distance accessibility by applying GIS, and analyze the spatial structures of accessibility in the Metrropolitan Seoul area between two timepoints.
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