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http://dx.doi.org/10.13161/kibim.2019.9.4.075

Travel Behavior Analysis using Origin-Destination Data for the Subway Line No.7  

Han, Sang-Cheon (인천대학교 도시건축학부)
Lee, Kyung-Chul (한국철도기술연구원, 철도정책연구팀)
Kim, Hwan-Yong (인천대학교 도시건축학부)
Choi, Young Woo (인천대학교 도시건축학부)
Publication Information
Journal of KIBIM / v.9, no.4, 2019 , pp. 75-83 More about this Journal
Abstract
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.
Keywords
Subway User Analysis; Travel Behavior; Seoul Metroline; Spatial Big Data;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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