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- Publisher Website: 10.1061/(ASCE)UP.1943-5444.0000186
- Scopus: eid_2-s2.0-84929161177
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Article: Sustainable land-use planning for a Downtown Lake Area in Central China: Multiobjective optimization approach aided by urban growth modeling
Title | Sustainable land-use planning for a Downtown Lake Area in Central China: Multiobjective optimization approach aided by urban growth modeling |
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Authors | |
Keywords | Cellular automata Genetic algorithm Multiobjective optimization Nonpoint source pollution Watershed |
Issue Date | 2014 |
Citation | Journal of Urban Planning and Development, 2014, v. 140, n. 2, article no. 04014002 How to Cite? |
Abstract | Urban land-use planning is becoming increasingly complex in China because it requires estimating the future urban extent and balancing its various aspects, e.g., provision of enough housing and employment opportunities and preservation of the environment. This paper presents an integrative approach to the problem of sustainable land-use planning. Specifically, an urban growth simulation tool, a cellular automata model, was used to determine the extent of the urban area, and a neural network approach was used to quantitatively predict the land-use structure in the projected year. A multiobjective optimization genetic algorithm was then developed to search for Pareto-optimal urban land-use plans within the urban extent determined by the urban growth model. To search for a sustainable urban land-use plan, social, economic, and environmental objectives were defined that reflect the multiple objectives of the urban system. In addition to these nonspatial goals, objectives concerning the spatial distribution of land usages were proposed. These are classified as local and global spatial objectives. A case study of the Donghu Lake watershed was conducted. Donghu Lake is one of the largest downtown lakes in central China, and the watershed area is undergoing rapid urbanization and suffering from nonpoint source water pollution. The study was carried out to validate the proposed method, and it demonstrated that the models are appropriate for areas undergoing urban expansion. |
Persistent Identifier | http://hdl.handle.net/10722/329355 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.506 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Bo | - |
dc.contributor.author | Zhang, Wenting | - |
dc.date.accessioned | 2023-08-09T03:32:12Z | - |
dc.date.available | 2023-08-09T03:32:12Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Journal of Urban Planning and Development, 2014, v. 140, n. 2, article no. 04014002 | - |
dc.identifier.issn | 0733-9488 | - |
dc.identifier.uri | http://hdl.handle.net/10722/329355 | - |
dc.description.abstract | Urban land-use planning is becoming increasingly complex in China because it requires estimating the future urban extent and balancing its various aspects, e.g., provision of enough housing and employment opportunities and preservation of the environment. This paper presents an integrative approach to the problem of sustainable land-use planning. Specifically, an urban growth simulation tool, a cellular automata model, was used to determine the extent of the urban area, and a neural network approach was used to quantitatively predict the land-use structure in the projected year. A multiobjective optimization genetic algorithm was then developed to search for Pareto-optimal urban land-use plans within the urban extent determined by the urban growth model. To search for a sustainable urban land-use plan, social, economic, and environmental objectives were defined that reflect the multiple objectives of the urban system. In addition to these nonspatial goals, objectives concerning the spatial distribution of land usages were proposed. These are classified as local and global spatial objectives. A case study of the Donghu Lake watershed was conducted. Donghu Lake is one of the largest downtown lakes in central China, and the watershed area is undergoing rapid urbanization and suffering from nonpoint source water pollution. The study was carried out to validate the proposed method, and it demonstrated that the models are appropriate for areas undergoing urban expansion. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Urban Planning and Development | - |
dc.subject | Cellular automata | - |
dc.subject | Genetic algorithm | - |
dc.subject | Multiobjective optimization | - |
dc.subject | Nonpoint source pollution | - |
dc.subject | Watershed | - |
dc.title | Sustainable land-use planning for a Downtown Lake Area in Central China: Multiobjective optimization approach aided by urban growth modeling | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1061/(ASCE)UP.1943-5444.0000186 | - |
dc.identifier.scopus | eid_2-s2.0-84929161177 | - |
dc.identifier.volume | 140 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | article no. 04014002 | - |
dc.identifier.epage | article no. 04014002 | - |
dc.identifier.eissn | 1943-5444 | - |
dc.identifier.isi | WOS:000335983400006 | - |