Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning
One of the primary aims of China’s territory spatial planning is to control the urban sprawl of local municipals and prevent regional competition and the negative consequences on the environment—which emphasizes the top-down spatial regulation. Indeed, the traditional cellular automaton (CA) model s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/12/2210 |
| _version_ | 1797456720343072768 |
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| author | Siyu Miao Yang Xiao Ling Tang |
| author_facet | Siyu Miao Yang Xiao Ling Tang |
| author_sort | Siyu Miao |
| collection | DOAJ |
| description | One of the primary aims of China’s territory spatial planning is to control the urban sprawl of local municipals and prevent regional competition and the negative consequences on the environment—which emphasizes the top-down spatial regulation. Indeed, the traditional cellular automaton (CA) model still has limitations when applied to the whole administration area since it may ignore the differences among cities and towns. Thus, this paper proposed a CM-CA (clustering, multi-level logit regression, integrated with cellular automaton) framework to simulate urban growth boundaries for cities and towns simultaneously. The significant novelty of this framework is to integrate several urban growth modes for all cities and towns. We applied our approach to the city of Xi’an, China, and the results showed satisfactory simulation accuracy of a CM-CA model for multiple cities and towns, and the clusters’ effects contributed 74% of the land change variance. Our study provides technical support for urban growth boundary delineation in China’s spatial planning. |
| first_indexed | 2024-03-09T16:11:53Z |
| format | Article |
| id | doaj.art-5450278b0f204f6199aee91c67269780 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T16:11:53Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-5450278b0f204f6199aee91c672697802023-11-24T16:07:16ZengMDPI AGLand2073-445X2022-12-011112221010.3390/land11122210Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial PlanningSiyu Miao0Yang Xiao1Ling Tang2College of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaCollege of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaDongguan Geographic Information and Planning Research Center, Dongguan 523129, ChinaOne of the primary aims of China’s territory spatial planning is to control the urban sprawl of local municipals and prevent regional competition and the negative consequences on the environment—which emphasizes the top-down spatial regulation. Indeed, the traditional cellular automaton (CA) model still has limitations when applied to the whole administration area since it may ignore the differences among cities and towns. Thus, this paper proposed a CM-CA (clustering, multi-level logit regression, integrated with cellular automaton) framework to simulate urban growth boundaries for cities and towns simultaneously. The significant novelty of this framework is to integrate several urban growth modes for all cities and towns. We applied our approach to the city of Xi’an, China, and the results showed satisfactory simulation accuracy of a CM-CA model for multiple cities and towns, and the clusters’ effects contributed 74% of the land change variance. Our study provides technical support for urban growth boundary delineation in China’s spatial planning.https://www.mdpi.com/2073-445X/11/12/2210urban growth boundaryclusteringmulti-level logit regressioncellular automatonurban simulation models |
| spellingShingle | Siyu Miao Yang Xiao Ling Tang Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning Land urban growth boundary clustering multi-level logit regression cellular automaton urban simulation models |
| title | Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning |
| title_full | Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning |
| title_fullStr | Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning |
| title_full_unstemmed | Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning |
| title_short | Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning |
| title_sort | urban growth simulation based on a multi dimension classification of growth types implications for china s territory spatial planning |
| topic | urban growth boundary clustering multi-level logit regression cellular automaton urban simulation models |
| url | https://www.mdpi.com/2073-445X/11/12/2210 |
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