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http://dx.doi.org/10.7838/jsebs.2013.18.3.211

Discovery of Travel Patterns in Seoul Metropolitan Subway Using Big Data of Smart Card Transaction Systems  

Kim, Kwanho (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Oh, Kyuhyup (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Lee, Yeong Kyu (Seoul Metropolitan Rapid Transit Corp.)
Jung, Jae-Yoon (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Publication Information
The Journal of Society for e-Business Studies / v.18, no.3, 2013 , pp. 211-222 More about this Journal
Abstract
Discovering zones which a1re sets of geographically adjacent regions are essential in sophisticated urban developments and people's movement improvements. While there are some studies that separately focus on movements between particular regions and zone discovery, they show limitations to understand people's movements from a wider viewpoint. Therefore, in this research, we propose a clustering based analysis method that aims at discovering movement patterns, which involves zones and their relations, based on a big data of smart card transaction systems. Moreover, the effectiveness of discovered movement patterns is quantitatively evaluated by using the proposed metrics. By using a real-world dataset obtained in Seoul metropolitan subway networks, we investigate and visualize hidden movement patterns in Seoul.
Keywords
Smart Card Transaction; Big Data Analysis; Movement Behavior; Movement Pattern Analysis; Zone Discovery;
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