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A Study on the Analysis Effect Factors of Illegal Parking Using Data Mining Techniques

데이터마이닝 기법을 활용한 불법주차 영향요인 분석

  • 이창희 (국립 한밭대학교 도시공학과) ;
  • 김명수 (국립 한밭대학교 도시공학과) ;
  • 서소민 (국립 한밭대학교 도시공학과)
  • Received : 2014.07.21
  • Accepted : 2014.08.18
  • Published : 2014.08.31

Abstract

With the rapid development in the economy and other fields as well, the standard of living in South Korea has been improved, and consequently, the demand of automobiles has quickly increased. It leads to various traffic issues such as traffic congestion, traffic accident, and parking problem. In particular, this illegal parking caused by the increase in the number of automobiles has been considered one of the main reasons to bring about traffic congestion as intensifying any dispute between neighbors in relation to a parking space, which has been also coming to the fore as a social issue. Therefore, this study looked into Daejeon Metropolitan City, the city that is understood to have the highest automobile sharing rate in South Korea but with relatively few cases of illegal parking crackdowns. In order to investigate the theoretical problems of the illegal parking, this study conducted a decision-making tree model-based Exhaustive CHAID analysis to figure out not only what makes drivers park illegally when they try to park vehicles but also those factors that would tempt the drivers into the illegal parking. The study, then, comes up with solutions to the problem. According to the analysis, in terms of the influential factors that encourage the drivers to park at some illegal areas, it was learned that these factors, the distance, a driver's experience of getting caught, the occupation and the use time in order, have an effect on the drivers' deciding to park illegally. After working on the prediction model, four nodes were finally extracted. Given the analysis result, as a solution to the illegal parking, it is necessary to establish public parking lots additionally and first secure the parking space for the vehicles used for living and working, and to activate the campaign for enhancing illegal parking crackdown and encouraging civic consciousness.

우리나라는 급속한 경제발전과 고속성장으로 생활수준이 향상되면서 자동차 수요가 급격히 증가함에 따라 교통혼잡, 교통사고, 주차문제 등의 문제가 발생되고 있다. 자동차 증가로 인한 주차문제 중 불법주차는 교통혼잡을 야기하고 주차공간으로 인한 이웃간 분쟁의 원인이 되어 사회적 문제로 대두되고 있다. 이에 본 연구에서는 지방 광역시중 승용차 수단분담률이 높음에도 불구하고 불법주차 단속건수가 상대적을 적은 대전광역시를 대상으로 주차조사를 실시하였으며 불법주차에 대한 원론적인 문제를 파악하기 위해 의사결정나무모형 Exhaustive CHAID분석을 통하여 운전자들의 주차행위에 있어 불법주차를 선택하는 과정과 그에 따른 영향요인을 탐색하여 불법주차의 원인을 파악하고 해결하는 방안을 제시하고자 한다. 분석결과 불법주차를 선택하는 영향요인으로는 거리, 단속경험, 직업, 이용시간대 순으로 영향을 미치는 것으로 나타났으며 예측 모형은 최종적으로 4가지 노드가 도출되었다. 분석결과에 따른 불법주차의 해결방안으로는 공영주차장의 추가설치와 생계유지 및 조업차량의 주차공간 확보가 우선되어야 하고 불법주차 단속강화와 시민의식 고취를 위한 캠페인의 활성화가 필요하다.

Keywords

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