| 논문명 |
수도권 지하철 7호선 주요역 통근통행특성 분석 연구 / Travel Behavior Analysis using Origin-Destination Data for the Subway Line No.7 |
| 저자명 |
한상천(Han, Sang-Cheon); 이경철(Lee, Kyung-Chul); 김환용(Kim, Hwan-Yong); 최영우(Choi, Young Woo) |
| 수록사항 |
한국BIM학회 논문집, Vol.9 No.4 (2019-12) |
| 주제어 |
철도공간정보; 지하철 통근특성; 수도권지하철; 공간빅데이터 ; Subway User Analysis; Travel Behavior; Seoul Metroline; Spatial Big Data |
| 요약2 |
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. |
