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http://dx.doi.org/10.15207/JKCS.2019.10.12.315

Analysis of Passenger Movement Patterns Using Subway OD Data  

Baik, Euiyoung (Spatio-temporal Data Analysis Lab, Kwangwoon University)
Cho, Jae Hee (Information Convergence College, Kwangwoon University)
Kim, Dong-Geon (Information Science College, Dongduk Women's University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.12, 2019 , pp. 315-325 More about this Journal
Abstract
The purpose of this study is to design and construct a data mart that anyone can easily analyze subway OD movement patterns. Subway OD data of the year 2017 was downloaded from the Seoul Open Data Plaza and used as the source data. A multidimensional model was designed, and Gaussian mixed cluster analysis and visualization analysis using Tableau were performed. Interestingly, movement between suburban and Seoul accounts for 23% of the total traffic. The passengers of Suwon Station move to the suburbs much more than Seoul, while Pangyo Station mostly moves to Seoul. As a result of Gaussian mixed cluster, eight clusters of OD segments were found, and the characteristics of each cluster were characterized by segment distance and passenger size.
Keywords
Traffic population analysis; OD analysis; Data mart; Gaussian mixture model clustering; Spatial visualization;
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Times Cited By KSCI : 6  (Citation Analysis)
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