수도권 지하철 7호선 주요역 통근통행특성 분석 연구

• 영문명: Travel Behavior Analysis using Origin-Destination Data for the Subway Line No.7
• 발행기관: 한국BIM학회
• 저자명: 한상천(Han, Sang-Cheon) 이경철(Lee, Kyung-Chul) 김환용(Kim, Hwan-Yong) 최영우(Choi, Young Woo)
• 간행물 정보: 『KIBIM Magazine』9권 4호, 75~83쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2019.12.31

영문 초록

Recent data development has made it possible to analyze each individual’s daily commuting by using transportation card transaction. This research utilizes about 1 million observations from the subway line no.7 of Seoul metropolitan transportation data. By using such a massive dataset, the authors try to identify daily travel behavior of morning commute and its possible relationship between subway usage and socio-economic factors. There are 4 main types of users and their travel behavior, and top 15 stations with the most users for arrival and departure are selected. Accordingly, 15 stations have distinctive characteristics including population density and the number of businesses around stations. To identify this fact, the 4 most populated stations are selected and their socio-economic factors are examined. According to the analysis, the most departure stations are generally surrounded by hihgly populated residential areas, whereas the most arrival stations are stood within the job concentrated districts.

목차

1. 서 론

2. 연구동향 분석

3. 지하철 7호선 사용현황

4. 7호선 출발/도착역 15개소 사용현황

5. 7호선 중심역의 사회경제적 현황

6. 향후 연구 진행 방향 및 결론

7. 감사의 글

키워드

철도공간정보(Subway User Analysis) 지하철 통근특성(Travel Behavior) 수도권지하철(Seoul Metroline) 공간빅데이터(Spatial Big Data)