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http://dx.doi.org/10.14400/JDC.2015.13.2.35

An Exploratory Study on Improvement Method of the Subway Congestion Based Big Data Convergence  

Kim, KeunWon (Dept. of Business Administration, Sunmoon University)
Kim, DongWoo (Dept. of Business Administration, Sunmoon University)
Noh, Kyoo-Sung (Dept. of Business Administration, Sunmoon University)
Lee, Joo-Yeoun (Dept. of Industrial Engineering Ajou University)
Publication Information
Journal of Digital Convergence / v.13, no.2, 2015 , pp. 35-42 More about this Journal
Abstract
As the value of Bigdata has been recognized importantly, public agencies including the government, private sector, etc. began to have an interest in Big Data. As there are sources of various data, and a variety of planning and analysis methods based on these sources has emerged, It is true that Bigdata will become a tool for creation of the new high qualitied information and decision making based on new insights. The purpose of this study is to find an alternative to the subway congestion problem that is not improved even though the various measures. In this study, we tried to explore approaches for ways to improve the congestion of the Seoul Subway using Seoul Metropolitan public data. Lastly, this study derived a policy alternative to establish new bus route that runs around the metro station that have a high level of congestion.
Keywords
Bigdata; Policy Convergence; Survey Congestion; Bus Route;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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