농촌계획 (Journal of Korean Society of Rural Planning)

  • 제27권3호
  • /
  • Pages.93-102
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  • 2021
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  • 1225-8857(pISSN)
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  • 2288-9493(eISSN)
한국농촌계획학회 (Korean Society of Rural Planning)
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공간규모별 치유농업단지 입지잠재력 평가

Evaluation of Suitable Locations of Green Care Farm Complex According to Spatial Scale

  • 임혜지 (한국농어촌공사 충남지역본부) ;
  • 배승종 (서울대학교 그린바이오과학기술연구원) ;
  • 구희동 (충남대학교 농업과학연구소) ;
  • 김대식 (충남대학교 지역환경토목학과)
  • Lim, Hye-Ji (Chungnam Regional Headquarter, Korea Rural Community Cooperation) ;
  • Bae, Seung-Jong (Institute of Green Bio Science and Technology, Seoul National University) ;
  • Koo, Hee-Dong (Research Institute of Agricultural Sciences and Technology, Chungnam National University) ;
  • Kim, Dae-Sik (Dept. of Department of Agricultural Engineering, Chungnam National University)
  • 투고 : 2021.04.30
  • 심사 : 2021.08.31
  • 발행 : 2021.08.31
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초록

This study was attempted to provide a scientific basis for the problem of location selection by spatial scale for efficient promotion of projects related to green care farm complex. Location potential assessment system in local government scale consists of two major components from demand-side and supply-side consideration. The demand-side aspect considered the characteristics of potential users, while supply-side aspect used total 18 indices over 8 divisions under 3 fields. For the location potential assessment in district scale, total 8 indices under 3 major divisions were considered based on biological, physical, social, and economic environment. The application results of the location potential evaluation system in local government scale(excluding metropolitan cities) showed high location potential in southern Gyeonggi Province and near Busan Metropolitan City. As a result of applying the district-scale location potential evaluation system to Geumsan-gun, Geumsan-eup, Chubu-myeon, and Jewon-myeon have high potential. Further studies to improve the applicability of the developed indices are recommended by enhancing assessment indices, complementing base data, and reinforcing with spatial analysis.

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과제정보

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019S1A5A2A03052335)

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