Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints
The traditional process for selecting urban gas station sites often emphasizes economic benefits and return on investment, frequently overlooking mandatory and guiding constraints established by territorial spatial planning regulations. This neglect can compromise the effective layout and future gro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/13/11/375 |
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| author | Jie Zhu Mengyao Zhu Li Chen Li Luo Weihua Wang Xueming Zhu Yizhong Sun |
| author_facet | Jie Zhu Mengyao Zhu Li Chen Li Luo Weihua Wang Xueming Zhu Yizhong Sun |
| author_sort | Jie Zhu |
| collection | DOAJ |
| description | The traditional process for selecting urban gas station sites often emphasizes economic benefits and return on investment, frequently overlooking mandatory and guiding constraints established by territorial spatial planning regulations. This neglect can compromise the effective layout and future growth of cities, potentially affecting their long-term development. To address this issue, this study develops a systematic framework for urban gas station site selection that integrates both mandatory and guiding constraints. By conducting detailed analyses of feasible construction areas and fuel demand, the framework quantifies relevant indicators and establishes a comprehensive index system for site selection. A multi-objective optimization model employing genetic algorithms was utilized to maximize fuel demand coverage, minimize inter-station redundancy, and achieve optimal site coverage. This framework was applied to the central urban area of Lishui City, China, as a case study. The site selection schemes achieved a coverage rate exceeding 90%, an inter-station redundancy rate around 30%, and a demand coverage rate surpassing 90%, optimizing the key objectives. Compared to traditional methods that often ignore territorial spatial planning constraints, this framework effectively avoids conflicts with urban planning and regulatory requirements. It enhances infrastructure coordination, supports environmental sustainability, and exhibits strong adaptability to diverse urban contexts, thus offering valuable support for practical decision-making. |
| format | Article |
| id | doaj-art-1c4780d3a7d3435396273fb81d349c44 |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-1c4780d3a7d3435396273fb81d349c442024-11-26T18:06:20ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-10-01131137510.3390/ijgi13110375Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning ConstraintsJie Zhu0Mengyao Zhu1Li Chen2Li Luo3Weihua Wang4Xueming Zhu5Yizhong Sun6College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Civil Engineering, Nanjing Forestry University, Nanjing 210037, ChinaKey Laboratory of Virtual Geographic Environment of the Ministry of Education, Nanjing Normal University, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment of the Ministry of Education, Nanjing Normal University, Nanjing 210023, ChinaLishui City Land Space Planning and Mapping Research Institute, Lishui Bureau of Natural Resource and Planning, Lishui 323000, ChinaTechnical Assurance Center for Natural Resources and Planning, Changzhou Xinbei City, Changzhou 213022, ChinaKey Laboratory of Virtual Geographic Environment of the Ministry of Education, Nanjing Normal University, Nanjing 210023, ChinaThe traditional process for selecting urban gas station sites often emphasizes economic benefits and return on investment, frequently overlooking mandatory and guiding constraints established by territorial spatial planning regulations. This neglect can compromise the effective layout and future growth of cities, potentially affecting their long-term development. To address this issue, this study develops a systematic framework for urban gas station site selection that integrates both mandatory and guiding constraints. By conducting detailed analyses of feasible construction areas and fuel demand, the framework quantifies relevant indicators and establishes a comprehensive index system for site selection. A multi-objective optimization model employing genetic algorithms was utilized to maximize fuel demand coverage, minimize inter-station redundancy, and achieve optimal site coverage. This framework was applied to the central urban area of Lishui City, China, as a case study. The site selection schemes achieved a coverage rate exceeding 90%, an inter-station redundancy rate around 30%, and a demand coverage rate surpassing 90%, optimizing the key objectives. Compared to traditional methods that often ignore territorial spatial planning constraints, this framework effectively avoids conflicts with urban planning and regulatory requirements. It enhances infrastructure coordination, supports environmental sustainability, and exhibits strong adaptability to diverse urban contexts, thus offering valuable support for practical decision-making.https://www.mdpi.com/2220-9964/13/11/375urban gas station site selectionterritorial spatial planningmulti-objective optimizationdemand analysisgenetic algorithmLishui City |
| spellingShingle | Jie Zhu Mengyao Zhu Li Chen Li Luo Weihua Wang Xueming Zhu Yizhong Sun Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints ISPRS International Journal of Geo-Information urban gas station site selection territorial spatial planning multi-objective optimization demand analysis genetic algorithm Lishui City |
| title | Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints |
| title_full | Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints |
| title_fullStr | Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints |
| title_full_unstemmed | Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints |
| title_short | Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints |
| title_sort | multi objective optimization of urban gas station site selection under territorial spatial planning constraints |
| topic | urban gas station site selection territorial spatial planning multi-objective optimization demand analysis genetic algorithm Lishui City |
| url | https://www.mdpi.com/2220-9964/13/11/375 |
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