MULTI-SCENARIO SIMULATION OF LAND USE SUITABILITY FOR URBAN EXPANSION BASED ON MARKOV-FLUS MODEL.
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| Title: | MULTI-SCENARIO SIMULATION OF LAND USE SUITABILITY FOR URBAN EXPANSION BASED ON MARKOV-FLUS MODEL. |
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| Authors: | WU, Feifei1,2, LIAN, Bing1,2 lianbing00@sina.com, KANG, Jing1,2 |
| Source: | Thermal Science. 2026, Vol. 30 Issue 2A, p1239-1249. 11p. |
| Subjects: | Land use, Human settlements, Land use planning, Urban growth, Sustainable living, Computer simulation, Provinces |
| Geographic Terms: | Guangdong Sheng (China) |
| Abstract: | The ongoing discord between population growth and available land resources poses significant challenges to the sustainable development of human settlements in Guangdong Province. Multi-scenario simulation of land use oriented to the suitable human settlements is essential for the spatial optimization of land use and improvement of human settlements suitability. Five scenarios were established, each designed to assess different levels of suitability demands. The coupled Markov-FLUS model was employed to simulate land use in Guangdong Province in 2030. The simulation results indicated that the proportions of production, living, and ecological land areas were more co-ordinated under the comprehensive space optimization scenario. In comparison with the standard business-as-usual scenario, the cropland area exhibited an increase in major grain-producing areas, thereby facilitating the construction of high standard cropland. Concurrently, there has been an increase in ecological land in the central cities of the Pearl River Delta and the surrounding regions. This initiative has been demonstrated to enhance the improvement of the ecological environment and human settlements. In comparison with the living space preference scenario, the newly-added construction land increased in eastern and western regions, which was consistent with the requirements of optimizing urban space in Guangdong province. A comparative analysis reveals that spatial configurations within the comprehensive space optimization scenario exhibit enhanced rationality in comparison to alternative scenarios. The land use strategy employed in this scenario proved to be the optimal solution for the conflict between population and land. The findings of this study have the potential to furnish decision-support resources for the future enhancement of land use and the development of human settlements. [ABSTRACT FROM AUTHOR] |
| Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: MULTI-SCENARIO SIMULATION OF LAND USE SUITABILITY FOR URBAN EXPANSION BASED ON MARKOV-FLUS MODEL. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22WU%2C+Feifei%22">WU, Feifei</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22LIAN%2C+Bing%22">LIAN, Bing</searchLink><relatesTo>1,2</relatesTo><i> lianbing00@sina.com</i><br /><searchLink fieldCode="AR" term="%22KANG%2C+Jing%22">KANG, Jing</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Thermal+Science%22">Thermal Science</searchLink>. 2026, Vol. 30 Issue 2A, p1239-1249. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Human+settlements%22">Human settlements</searchLink><br /><searchLink fieldCode="DE" term="%22Land+use+planning%22">Land use planning</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+growth%22">Urban growth</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+living%22">Sustainable living</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Provinces%22">Provinces</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Guangdong+Sheng+%28China%29%22">Guangdong Sheng (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The ongoing discord between population growth and available land resources poses significant challenges to the sustainable development of human settlements in Guangdong Province. Multi-scenario simulation of land use oriented to the suitable human settlements is essential for the spatial optimization of land use and improvement of human settlements suitability. Five scenarios were established, each designed to assess different levels of suitability demands. The coupled Markov-FLUS model was employed to simulate land use in Guangdong Province in 2030. The simulation results indicated that the proportions of production, living, and ecological land areas were more co-ordinated under the comprehensive space optimization scenario. In comparison with the standard business-as-usual scenario, the cropland area exhibited an increase in major grain-producing areas, thereby facilitating the construction of high standard cropland. Concurrently, there has been an increase in ecological land in the central cities of the Pearl River Delta and the surrounding regions. This initiative has been demonstrated to enhance the improvement of the ecological environment and human settlements. In comparison with the living space preference scenario, the newly-added construction land increased in eastern and western regions, which was consistent with the requirements of optimizing urban space in Guangdong province. A comparative analysis reveals that spatial configurations within the comprehensive space optimization scenario exhibit enhanced rationality in comparison to alternative scenarios. The land use strategy employed in this scenario proved to be the optimal solution for the conflict between population and land. The findings of this study have the potential to furnish decision-support resources for the future enhancement of land use and the development of human settlements. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2298/TSCI2602239W Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1239 Subjects: – SubjectFull: Land use Type: general – SubjectFull: Human settlements Type: general – SubjectFull: Land use planning Type: general – SubjectFull: Urban growth Type: general – SubjectFull: Sustainable living Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Provinces Type: general – SubjectFull: Guangdong Sheng (China) Type: general Titles: – TitleFull: MULTI-SCENARIO SIMULATION OF LAND USE SUITABILITY FOR URBAN EXPANSION BASED ON MARKOV-FLUS MODEL. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: WU, Feifei – PersonEntity: Name: NameFull: LIAN, Bing – PersonEntity: Name: NameFull: KANG, Jing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03549836 Numbering: – Type: volume Value: 30 – Type: issue Value: 2A Titles: – TitleFull: Thermal Science Type: main |
| ResultId | 1 |
