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공간최적화 모델을 활용한 환경계획의 공간화 방안 : Suggestion for spatialization of environmental planning using spatial optimization model

DC Field Value Language
dc.contributor.author윤은주-
dc.contributor.author이동근-
dc.contributor.author허한결-
dc.contributor.author성현찬-
dc.creator이동근-
dc.date.accessioned2019-04-25T01:22:31Z-
dc.date.available2020-04-05T01:22:31Z-
dc.date.created2019-09-10-
dc.date.issued2018-04-
dc.identifier.citation한국환경복원기술학회지, Vol.21 No.2, pp.27-38-
dc.identifier.issn1229-3032-
dc.identifier.urihttps://hdl.handle.net/10371/149271-
dc.description.abstractEnvironmental planning includes resource allocation and spatial planning process for the conservation and management of environment. Because the spatialization of the environmental planning is not specifically addressed in the relevant statutes, it actually depends on the qualitative methodology such as expert judgement. The results of the qualitative methodology have the advantage that the accumulated knowledge and intuition of the experts can be utilized. However, it is difficult to objectively judge whether it is enough to solve the original problem or whether it is the best of the possible scenarios.
Therefore, this study proposed a methodology to quantitatively and objectively spatialize various environmental planning. At first, we suggested a quantitative spatial planning model based on an optimization algorithm. Secondly, we applied this model to two kinds of environmental planning and discussed about the model performance to present the applicability. Since the models were developed based on conceptual study site, there was a limitation in showing possibility of practical use. However, we expected that this study can contribute to the fields related to environmental planning by suggesting flexible and novel methodology.
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dc.language한국어-
dc.language.isokoen
dc.publisher한국환경복원기술학회-
dc.title공간최적화 모델을 활용한 환경계획의 공간화 방안-
dc.title.alternativeSuggestion for spatialization of environmental planning using spatial optimization model-
dc.typeArticle-
dc.identifier.doi10.13087/kosert.2018.21.2.27-
dc.citation.journaltitle한국환경복원기술학회지-
dc.description.srndOAIID:RECH_ACHV_DSTSH_NO:T201806607-
dc.description.srndRECH_ACHV_FG:RR00200001-
dc.description.srndADJUST_YN:-
dc.description.srndEMP_ID:A075721-
dc.description.srndCITE_RATE:0-
dc.description.srndDEPT_NM:조경·지역시스템공학부-
dc.description.srndEMAIL:dklee7@snu.ac.kr-
dc.description.srndSCOPUS_YN:N-
dc.citation.endpage38-
dc.citation.number2-
dc.citation.startpage27-
dc.citation.volume21-
dc.identifier.kciidART002344180-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthor이동근-
dc.identifier.srndT201806607-
dc.type.docTypeArticle-
dc.description.journalClass2-
dc.subject.keywordAuthorheuristic optimization algorithms, Non-dominated Sorting Genetic Algorithm II(NSGA II), Ant Colony Optimization(ACO), Spatial Decision-making Support System(SDSS)-
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