한국환경복원기술학회지 (Journal of the Korean Society of Environmental Restoration Technology)

  • 제22권5호
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  • Pages.45-56
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  • 2019
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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유휴지를 활용한 최적의 도시 녹지 공간 탐색 - 녹지연결성과 열 환경 개선을 목적으로 -

Exploration of Optimal urban green space using unused land - To improve green connectivity and thermal environment -

  • 김은섭 (서울대학교 대학원 생태조경.지역시스템공학부) ;
  • 이동근 (서울대학교 조경.지역시스템공학부) ;
  • 윤은주 (일본국립환경연구소 기후변화적응센터) ;
  • 박채연 (서울대학교 농업생명과학연구원)
  • Kim, Eun-Sub (Graduate School of Seoul National University) ;
  • Lee, Dong-Kun (Dept. of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Yoon, Eun-Joo (Center for Climate Change Adaptation, National Institute for Environmental Studies) ;
  • Park, Chae-Yoen (Research Institute of Agriculture and Life Sciences, Seoul National University)
  • 투고 : 2019.09.26
  • 심사 : 2019.10.18
  • 발행 : 2019.10.31
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초록

Urban green areas are generally composed of relatively small and fragmented patches, but it is a critical factor for the quality of an urban environment. They have positive effects such as increasing green connectivity, reducing runoff, and mitigating urban heat. But, there is a lack of urban greening plans that consider the comprehensive effects of green space in real urban areas. To fill this gap in this literature, this study identifies a planning model that determines the optimal locations for maximizing green areas' multiple effects(e.g., heat mitigation and enhancement of connectivity) by using unused lots. This model also considers minimizing costs using meta-heuristic optimization algorithms. As a results, we finds 50 optimal plans that considers two effects within the limited cost in Nowon-gu. The optimal plans show the trade-off effect between connectivity, heat mitigation and cost. They also show the critical unused land lots for urban greening that are commonly selected in various plans. These optimal plans can effectively inform quantitative effectiveness of green space and their trade-off. We expect that our model will contribute to the improvement of green planning processes in reality.

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