A method for urban and rural construction land layout planning based on GIS spatial analysis technology

To enhance the efficiency of urban and rural land resource management, a strategy for the spatial arrangement of urban and rural construction land utilising GIS spatial analysis technology is introduced. Collect geospatial data and perform interpolation, cleaning, standardisation, and fusion processing on the data to improve its quality and usability. Subsequently, these refined datasets are fed into a BP neural network to forecast the future needs for urban and rural construction land. The forecasts are then integrated into GIS software, where a spatial analysis model is developed to analyse the data spatially. A regression model is employed to synthesise the outcomes of the spatial analysis, leading to the optimised layout planning of urban and rural construction land. The efficacy of this approach is validated through experiments, demonstrating its robust spatial complexity, adaptable land use, and overall sustainability, affirming the positive impact of this planning methodology.

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Publication Details

Journal
International Journal of Environmental Technology and Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijetm.2025.148985
Primary Topic
Remote Sensing and Land Use
Type
article
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article

A method for urban and rural construction land layout planning based on GIS spatial analysis technology

Wei Shen, Peng Jiao, Renhua Ge
International Journal of Environmental Technology and Management
Remote Sensing and Land Use
article

A method for urban and rural construction land layout planning based on GIS spatial analysis technology

Wei Shen, Peng Jiao, Renhua Ge
article en

Abstract

To enhance the efficiency of urban and rural land resource management, a strategy for the spatial arrangement of urban and rural construction land utilising GIS spatial analysis technology is introduced. Collect geospatial data and perform interpolation, cleaning, standardisation, and fusion processing on the data to improve its quality and usability. Subsequently, these refined datasets are fed into a BP neural network to forecast the future needs for urban and rural construction land. The forecasts are then integrated into GIS software, where a spatial analysis model is developed to analyse the data spatially. A regression model is employed to synthesise the outcomes of the spatial analysis, leading to the optimised layout planning of urban and rural construction land. The efficacy of this approach is validated through experiments, demonstrating its robust spatial complexity, adaptable land use, and overall sustainability, affirming the positive impact of this planning methodology.

International Journal of Environmental Technology and ManagementVol. 28(4/5/6)
Wuxi Vocational Institute of Commerce (CN), Nanjing Surveying and Mapping Research Institute (China) (CN)
Openalex Percentile: Top 67%
Remote Sensing and Land Use
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A method for urban and rural construction land layout planning based on GIS spatial analysis technology — Wei Shen, Peng Jiao, et al. · International Journal of Environmental Technology and Management (2025) | TGRS Research Map | TGRS