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Development of Parking Space Forecast Model for Large Traffic-inducing Facilities Considering Surrounding Circumstance

주변 환경을 고려한 대규모 교통유발시설 주차면산정 모형개발에 관한 연구 - 판매시설을 중심으로 -

  • 박제진 (한국도로공사 도로교통연구원) ;
  • 오석진 (전남대학교 토목공학과) ;
  • 김성훈 (전남대학교 토목공학과) ;
  • 하태준 (전남대학교 토목공학과)
  • Received : 2017.02.13
  • Accepted : 2017.05.07
  • Published : 2017.06.01

Abstract

With the rapid industrial development and national economic advance since 1970, the national income of Korea has sharply increased. As a result, issues regarding city expansion, urban concentration, increase in the number of registered motor vehicles, and increase in traffic have caused transportation issues such as traffic congestion and problems with parking. Especially, enforcement ordinances and rules have been established on installation and management of parking lots to solve problems with parking which are raised as social problems such as conflict with neighbors but the flexible calculation of legal parking space has the limitations because of the diversity and complex functionality of purposes of facilities. Accordingly, this study attempted to supplement such demerit of the parking space demand forecast method based on the legally required number of parking spaces and average unit requirement in the parking space supply. This study estimated the required number of parking spaces by analyzing existing literature, collecting field research data, and analyzing the factors that have an impact on the parking demand. Also, it compared the required number of parking spaces based on the average unit requirement as well as the required number of parking spaces by the forecast model based on the cumulative number of motor vehicles parked. The result was that the required number of parking space based on average unit requirement was less than the cumulative number of motor vehicles parked by 9.99%. Meanwhile, the required number of parking spaces by the forecast model was more than the cumulative number of motor vehicles parked by 4.37%. Therefore, it is believed that the parking space forecast model is more efficient than the others in estimating there quired parking space. The parking space forecast model of this study consider different environmental factors to enable practical parking demand forecast considering the local characteristics and thus supply the parking space in an efficient way.

우리나라는 1970년 이후 급격한 산업발달로 인해 도시의 팽창과 집중현상, 그리고 자동차등록대수의 증가로 교통량이 증가하게 됨으로써 교통의 지정체, 주차문제와 같은 다양한 교통문제가 야기되고 있는 실정이다. 특히, 이웃주민과의 다툼 등 사회적 문제로도 제기되고 있는 주차문제를 해결하기 위해 주차장 설치 및 관리에 관한 시행령 및 규칙을 재정하여 운영하고 있으나, 시설별 용도의 다양성과 복합적인 기능으로 인해 탄력적인 법정주차면 산정에는 그 한계를 내포하고 있다. 이에 본 연구에서는 주차면 공급에 법정주차대수 및 평균 원단위를 이용한 주차수요예측방법의 단점을 보완하기 위해 기존의 연구문헌 고찰을 통해 변수를 선정하여, 변수에 따른 현장조사 자료를 수집하고 주차수요에 영향을 미치는 요인을 다중회귀분석을 통해 적정 주차면을 산정하였으며, 누적주차대수를 기준으로 평균 원단위로 산정된 주차면과 예측모형으로 산정된 주차면을 비교하였다. 그 결과, 평균원단위법으로 산정된 주차면은 누적주차대수보다 9.99% 더 적게 산정되었고, 모형식을 활용한 주차면의 경우에는 4.37% 더 많게 산정되었다. 이는 주차면 산정방식에 있어서 주차면 예측모형이 보다 더 효율적임을 알 수 있다. 본 연구에서 구축한 주차면 산정 모형은 주차수요에 영향을 미칠 수 있는 다양한 환경 요인들을 고려하게 됨으로써, 지역의 특성에 맞는 현실적인 주차수요 예측이 가능하게 되었고, 효율적인 주차면의 공급이 이루어질 수 있을 것으로 판단된다.

Keywords

References

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