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A land-use mix allocation model considering adjacency, intensity, and proximity

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dc.contributor.authorEom, Sunyong-
dc.contributor.authorSuzuki, Tsutomu-
dc.contributor.authorLee, Myeong-Hun-
dc.date.accessioned2022-07-08T04:56:23Z-
dc.date.available2022-07-08T04:56:23Z-
dc.date.created2021-05-12-
dc.date.issued2020-05-
dc.identifier.issn1365-8816-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145786-
dc.description.abstractLand-Use Mix (LUM) refers to the strategy of integrating complementary functions within a building or area. While LUM has become a dominant approach in urban planning, its actual benefits and vision for spatial planning remain unclear. To clarify this issue, this study discerns the spatial features of land-use patterns depending on the compatibilities among land-use categories. Accordingly, this study introduces three LUM measures - adjacency, intensity, and proximity - to identify differences in the spatial distribution of land-use categories. Based on these measures, a land-use allocation model is developed to specify spatial patterns satisfying the given compatibilities. This model is tested by applying the concept of the neighborhood unit on a case study of normative land-use patterns subject to specified compatibilities. The results describe spatial features of four compatibility sets, including a set exhibiting a compatibility conflict between the same land-use pair and LUM measures when, for example, a given land-use pair is compatible in terms of intensity but incompatible in terms of proximity. Understanding the spatial features of a normative land-use pattern that satisfies various possible compatibilities will facilitate the incorporation of the LUM approach into local planning guidance and zoning ordinances.-
dc.language영어-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.titleA land-use mix allocation model considering adjacency, intensity, and proximity-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Myeong-Hun-
dc.identifier.doi10.1080/13658816.2019.1687899-
dc.identifier.scopusid2-s2.0-85075383971-
dc.identifier.wosid000497856300001-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, v.34, no.5, pp.899 - 923-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE-
dc.citation.titleINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE-
dc.citation.volume34-
dc.citation.number5-
dc.citation.startPage899-
dc.citation.endPage923-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaGeography-
dc.relation.journalResearchAreaPhysical Geography-
dc.relation.journalResearchAreaInformation Science & Library Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryGeography-
dc.relation.journalWebOfScienceCategoryGeography, Physical-
dc.relation.journalWebOfScienceCategoryInformation Science & Library Science-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusPATTERNS-
dc.subject.keywordAuthorLand-use allocation-
dc.subject.keywordAuthorland-use mix-
dc.subject.keywordAuthormulti-objective function-
dc.subject.keywordAuthorspatial planning-
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/13658816.2019.1687899-
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GRADUATE SCHOOL OF URBAN STUDIES (DEPARTMENT OF URBAN AND REGIONAL DEVELOPMENT)
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