Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton
The growth simulation of urban underground space (UUS) under the consideration of ecological constraints can effectively reveal the characteristics and trends of UUS changes, and provide a basis for planning the construction of sustainable and livable ecological cities. Therefore, this study conside...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/12/10/387 |
| _version_ | 1827761553848401920 |
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| author | Lingxiang Wei Dongjun Guo Zhilong Chen Yingying Hu Yanhua Wu Junyuan Ji |
| author_facet | Lingxiang Wei Dongjun Guo Zhilong Chen Yingying Hu Yanhua Wu Junyuan Ji |
| author_sort | Lingxiang Wei |
| collection | DOAJ |
| description | The growth simulation of urban underground space (UUS) under the consideration of ecological constraints can effectively reveal the characteristics and trends of UUS changes, and provide a basis for planning the construction of sustainable and livable ecological cities. Therefore, this study considers urban ecological space as a constraint mechanism for UUS development and conducts a simulation study of the dynamic and complex UUS growth process, with a view toward guiding UUS planning under a long-term overall vision. In this study, a patch-based cellular automaton (CA) model is constructed to simulate the dynamic and complex growth process of UUS, subject to the ecological constraints generated by the agent-based land allocation optimization model. The spatial drivers of UUS growth simulation are determined based on the Random Forest (RF) algorithm. The results of the research case in Tianfu New District, Chengdu City, demonstrate that UUS expansion with ecological constraints exhibits sustainable characteristics. However, the growth rate of the UUS development scale is significantly lower when ecological constraints are present compared to when they are not. This study’s results contribute to urban management by finding a balance between UUS development and ecological space conservation, and providing theoretical support for rational UUS planning and decision making in the construction of low-carbon cities. |
| first_indexed | 2024-03-11T10:13:35Z |
| format | Article |
| id | doaj.art-33b555b1362c4b049ff6ec8a750c680c |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-11T10:13:35Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-33b555b1362c4b049ff6ec8a750c680c2023-11-16T10:30:31ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-09-01121038710.3390/ijgi12100387Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular AutomatonLingxiang Wei0Dongjun Guo1Zhilong Chen2Yingying Hu3Yanhua Wu4Junyuan Ji5Research Center for Underground Space, Army Engineering University of PLA, Nanjing 210007, ChinaResearch Center for Underground Space, Army Engineering University of PLA, Nanjing 210007, ChinaResearch Center for Underground Space, Army Engineering University of PLA, Nanjing 210007, ChinaSchool of Materials Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, ChinaResearch Center for Underground Space, Army Engineering University of PLA, Nanjing 210007, ChinaSchool of Materials Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, ChinaThe growth simulation of urban underground space (UUS) under the consideration of ecological constraints can effectively reveal the characteristics and trends of UUS changes, and provide a basis for planning the construction of sustainable and livable ecological cities. Therefore, this study considers urban ecological space as a constraint mechanism for UUS development and conducts a simulation study of the dynamic and complex UUS growth process, with a view toward guiding UUS planning under a long-term overall vision. In this study, a patch-based cellular automaton (CA) model is constructed to simulate the dynamic and complex growth process of UUS, subject to the ecological constraints generated by the agent-based land allocation optimization model. The spatial drivers of UUS growth simulation are determined based on the Random Forest (RF) algorithm. The results of the research case in Tianfu New District, Chengdu City, demonstrate that UUS expansion with ecological constraints exhibits sustainable characteristics. However, the growth rate of the UUS development scale is significantly lower when ecological constraints are present compared to when they are not. This study’s results contribute to urban management by finding a balance between UUS development and ecological space conservation, and providing theoretical support for rational UUS planning and decision making in the construction of low-carbon cities.https://www.mdpi.com/2220-9964/12/10/387sustainable developmenturban underground spacegrowth simulationscellular automaton modelpatch growingrandom forest algorithm |
| spellingShingle | Lingxiang Wei Dongjun Guo Zhilong Chen Yingying Hu Yanhua Wu Junyuan Ji Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton ISPRS International Journal of Geo-Information sustainable development urban underground space growth simulations cellular automaton model patch growing random forest algorithm |
| title | Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton |
| title_full | Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton |
| title_fullStr | Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton |
| title_full_unstemmed | Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton |
| title_short | Growth Simulations of Urban Underground Space with Ecological Constraints Using a Patch-Based Cellular Automaton |
| title_sort | growth simulations of urban underground space with ecological constraints using a patch based cellular automaton |
| topic | sustainable development urban underground space growth simulations cellular automaton model patch growing random forest algorithm |
| url | https://www.mdpi.com/2220-9964/12/10/387 |
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