한국지리정보학회지 (Journal of the Korean Association of Geographic Information Studies)

  • 제25권2호
  • /
  • Pages.100-109
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  • 2022
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  • 1226-9719(pISSN)
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  • 2287-6952(eISSN)
한국지리정보학회 (The Korean Association of Geographic Information Studies)
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동적 혼잡통행료 적용을 위한 시공간 범위 설정에 관한 연구

A Study on the Establishment of Spatiotemporal Scope for Dynamic Congestion Pricing

  • KIM, Min-Jeong (Dept. of Urban Planning and Engineering, Dong-A University) ;
  • KIM, Hoe-Kyoung (Dept. of Urban Planning and Engineering, Dong-A University)
  • 투고 : 2022.06.02
  • 심사 : 2022.06.24
  • 발행 : 2022.06.30
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초록

한국의 경제성장과 함께 인구와 차량의 대규모 도시 집중에 따라 심각한 도시교통 문제가 초래되고 있다. 혼잡통행료의 징수는 교통수요를 관리하기 위한 가장 효과적인 정책으로 평가받고 있지만 대부분 혼잡이 발생하는 지점이나 교통축을 중심으로 적용되어 그 효과가 제한적이다. 본 연구는 동적 혼잡통행료 징수 체계를 제안하기 위해 부산광역시 206개 교통 분석 존의 평균 통행속도를 이용하여 시공간 큐브 분석(Space-Time Cube Analysis)과 시공간 패턴 마이닝(Emerging Hot Spot Analysis) 기법으로 면적인 개념의 동적 혼잡구역을 도출하였다. 분석 결과, 비 첨두시간인 0시~7시에는 핫스팟이 형성되지 않고, 7시~24시에는 동적 핫스팟이 형성되는 것으로 나타났다. 특히, 특정 시간대(18시~20시)와 특정 지역(서면, 광복동)에 교통 혼잡이 집중하는 것을 확인할 수 있었다. 따라서, 동적 혼잡통행료의 징수를 위한 시공간의 분석을 통해 도심에서의 교통수요 관리의 효과가 극대화될 것으로 기대한다.

Large-scale urban concentration of population and vehicles due to economic growth in Korea has been causing serious urban transport problems. Although the collection of congestion pricing has been evaluated as the most effective transportation policy to alleviate traffic demand, its effectiveness is very limited as it was just executed around congested points or along main arterial roads. This study derived dynamic congestion zones with the average travel speed of 206 traffic analysis zones in Busan Metropolitan City to propose a dynamic congestion pricing collection system by employing Space-Time Cube Analysis and Emerging Hot Spot Analysis. As a result, dynamic hot spots were formed from 7h to 24h and particularly, traffic congestion was severely deteriorated from 18h to 20h around Seomyeon and Gwangbok-dong. Therefore, it is expected that the effect of dynamic congestion pricing will be maximized in managing traffic demand in the city center.

키워드

과제정보

본 연구는 한국연구재단(과학기술정보통신부)의 연구비를 지원받아 수행한 과제입니다(NRF-2017R1C1B2010451).

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