A Study on Plan to Improve Illegal Parking using big Data

Keon Won Kim; Won Joon Park; Seong Taek Park

doi:10.17485/ijst/2015/v8i21/141660

A Study on Plan to Improve Illegal Parking using big Data

Keon Won Kim ¹, Won Joon Park ², Seong Taek Park ³

Affiliations
1 Department of Management, Sogang University, Korea, Republic of
2 The Korea Association of Software Manpower, Korea, Republic of
3 Department of Management Information Systems, Chungbuk National University, Korea, Republic of

Abstract
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Recently, the value of big data is being considered important. Also, the government, public institutions and private enterprises began to be interested in big data. Now, data has a lot of values, unlike the past. With the emergence of various planning and analysis techniques which are based on this data, big data is being established as a foundation for new high-level information creation and decision making advancement. This study aims to find an alternative for illegal parking using this big data. For achieving this purpose, this study attempted an approach to the plan to improve illegal parking using public data of Goyang City. In this study, public data of Goyang City was analyzed using open source R. Based on the analysis result, this study presented an alternative to improve illegal parking by installing CCTVs in Deogyang-gu, Goyang City.