Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

IEEE Access

Bing Qu¹  Jiawei Leng¹  Jie Ma² 

[1] Department of Architecture, School of Architecture, Southeast University, Nanjing, China;Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing, China;

关键词: Urban block;    intensity;    evaluation;    optimization;    data envelopment analysis;    deep learning;   

DOI  :  10.1109/ACCESS.2019.2933691

来源: DOAJ

【 摘 要 】

Intensification of morphology of blocks, which are the basic units of urban form and land management, is the key to sustainable urban development. Taking 206 blocks of Nanjing's central city area as an example, an evaluation system featuring six output-oriented indicators and five input-oriented indicators was constructed for data envelopment analysis to measure the blocks' intensity level. Relatively intensive blocks were selected as training data, and the output-oriented indicators of non-intensive blocks were predicted by a deep learning model, completing the procedure from evaluation of intensity to optimisation of morphological indicators. Finally, using the difference calculation and Arctool of weighted overlay in ArcGIS, a reference for the optimisation design of urban block morphology was created.

【 授权许可】

Unknown