Optimization of land use decisions using binary integer programming: The case of Hillsborough County, Florida, USA.
Abstract The contradiction between urban growth and environmental sustainability is a fundamental question regarding the welfare of human beings and the future of the earth. Human labor transforms the earth into factors of production by consuming its natural resources. The rational way to minimize t...
| Publicado en: | Journal of Environmental Management Vol. 235; pp. 240 - 250 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=134531638&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 134531638 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Apr2019 vid: 235 pid: 735 pub: Academic Press Inc. artinfo: ui: 134531638 10.1016/j.jenvman.2019.01.031 ppf: 240 ppct: 10 formats: tig: atl: Optimization of land use decisions using binary integer programming: The case of Hillsborough County, Florida, USA. aug: au: Türk, Ersin Zwick, Paul D. affil: Department of Urban and Regional Planning, School of Landscape Architecture and Planning, College of Design, Construction and Planning, University of Florida, Gainesville, FL, 32601, USA su: Land use Urban growth Decision making Natural resources Sustainability Geodatabases sug: subj: Land use Urban growth Decision making Natural resources Land Subdivision Sustainability Geodatabases keyword: Decision support systems GIS Land use allocation Optimum Sustainable urban development Decision support systems GIS Land use allocation Optimum Sustainable urban development ab: Abstract The contradiction between urban growth and environmental sustainability is a fundamental question regarding the welfare of human beings and the future of the earth. Human labor transforms the earth into factors of production by consuming its natural resources. The rational way to minimize the negative effects of such transformative intervention is advanced land use planning. Nevertheless, it is not possible to say that traditional modes of land use planning have fulfilled this task. The main reason for this failure is the habit of using traditional decision making tools which, to a significant level, are technically incompatible to deal with such a task. Hopefully, recent improvements in planning support tools have potential to process and evaluate complex geographical data. This paper benefits from these tools and moves one step further by performing a land assignment model, which operates binary integer programming and geographical information systems in a way that it can deal with different land use scenarios. This new methodology, which named as inquired land assignment model (ILAM), is applied for three different land use scenarios at upper level planning scale for a case area – Hillsborough County in Florida, USA. Outputs represent reasonable and consistent land use assignment and allocation results, and the model is potentially applicable to various fields and lower scales of planning practices by simple modifications. Highlights • Land use assignment decisions were optimized. • The method developed was used to determine capacity in urban development. • Land use assignment decisions were assessed and quantitatively tested. • Opportunity costs of different land use assignment scenarios were computed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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