Evaluation and Optimization of Urban Commercial Land Based on Big Data Measurement of Spatial Performance—A Case Study of Main Urban Area of Nanjing
To intensive land use,it is of great significance to explore commercial land evaluation and optimization paths that combine actual characteristics and needs of the population.This paper constructs a commercial land evaluation system based on big data of spatial performance,taking commercial space attributes and consumer activities as supply and output factors respectively,and conducts an empirical study on commercial land evaluation and optimization with Nanjing as an example.The results show that:spatial performance is above average;cluster centers of spatial performance arc closely related to spatial development time series and land use status;from the center to the periphery of the area,the imbalance type of land and performance-leading land gradually decrease,while the scale leading land gradually increases.
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