The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Impact of Road Traffic Characteristics on Environmental Factors Using IoT Urban Big Data

IoT 도시빅데이터를 활용한 도로교통특성과 유해환경요인 간 영향관계 분석

  • 박병훈 (서울시립대학교 교통공학과) ;
  • 유다영 (서울시립대학교 교통공학과) ;
  • 박동주 (서울시립대학교 교통공학과) ;
  • 홍정열 (계명대학교 교통공학과)
  • Received : 2021.08.20
  • Accepted : 2021.09.21
  • Published : 2021.10.31
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Abstract

As part of the Smart Seoul policy, the importance of using big urban data is being highlighted. Furthermore interest in the impact of transportation-related urban environmental factors such as PM10 and noise on citizen's quality of life is steadily increasing. This study established the integrated DB by matching IoT big data with transportation data, including traffic volume and speed in the microscopic Spatio-temporal scope. This data analyzed the impact of a spatial unit in the road-effect zone on environmental risk level. In addition, spatial units with similar characteristics of road traffic and environmental factors were clustered. The results of this study can provide the basis for systematically establishing environmental risk management of urban spatial units such as PM10 or PM2.5 hot-spot and noise hot-spot.

스마트 서울 정책의 일환으로 도시 빅데이터 활용의 중요성이 부각되고 있으며, 미세먼지, 소음과 같이 교통과 관련된 도시환경 요소가 시민들의 삶의 질에 미치는 영향에 대한 사회적 관심이 증가하고 있다. 본 연구에서는 IoT 도시 빅데이터와 교통 빅데이터를 매칭하여 통합 DB를 구축하고, 이를 활용하여 특정 공간이 도로 영향권 내에 포함되는지 여부에 따라 미세먼지, 소음 피해에 유의한 차이가 있는지 분석하였다. 또한 시계열 클러스터링을 통하여 도로교통특성 및 환경요인들이 유사한 특성을 가지는 공간 단위들을 군집화하였으며, 이 결과를 통하여 미세먼지 또는 초미세먼지 hot-spot, 소음 hot-spot 등 도시공간 단위의 환경위험 관리를 체계적으로 구축하는 기반을 마련하고자 하였다.

Keywords

Acknowledgement

본 연구는 2020년 서울시립대학교 시정연구 지원사업비에 의하여 수행되었습니다.

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