Qiao Weifeng1; Gao Junbo1; Liu Yansui1; Qin Yueheng2; Lu Cheng2; Ji Qingqing2
Source Publicationchinesegeographicalscience
AbstractIn this paper, the artificial neural network (ANN) model was used to evaluate the degree of intensive urban land use in Nanjing City, China. The construction and application of the ANN model took into account the comprehensive, spatial and complex nature of urban land use. Through a preliminary calculation of the degree of intensive land use of the sample area, representative sample area selection and using the back propagation neural network model to train, the intensive land use level of each evaluation unit is finally determined in the study area. Results show that the method can effectively correct the errors caused by the limitations of the model itself and the determination of the ideal value and weights when the multifactor comprehensive evaluation is used alone. The ANN model can make the evaluation results more objective and practical. The evaluation results show a tendency of decreasing land use intensity from the core urban area to the periphery and the industrial functional area has relatively low land use intensity compared with other functional areas. Based on the evaluation results, some suggestions are put forward, such as transforming the mode of urban spatial expansion, strengthening the integration and potential exploitation of the land in the urban built-up area, and strengthening the control of the construction intensity of protected areas.
Funding Project[China Postdoctoral Science Foundation] ; [National Natural Science Foundation of China] ; [Priority Academic Program Development of Jiangsu Higher Education Institutions]
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Qiao Weifeng,Gao Junbo,Liu Yansui,et al. evaluationofintensiveurbanlandusebasedonanartificialneuralnetworkmodelacasestudyofnanjingcitychina[J]. chinesegeographicalscience,2017,27(5):735.
APA Qiao Weifeng,Gao Junbo,Liu Yansui,Qin Yueheng,Lu Cheng,&Ji Qingqing.(2017).evaluationofintensiveurbanlandusebasedonanartificialneuralnetworkmodelacasestudyofnanjingcitychina.chinesegeographicalscience,27(5),735.
MLA Qiao Weifeng,et al."evaluationofintensiveurbanlandusebasedonanartificialneuralnetworkmodelacasestudyofnanjingcitychina".chinesegeographicalscience 27.5(2017):735.
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