Analysis and Research on the Change of Urban Functional Area Based on POI Data
Based on POI data,this paper analyzes the temporal and spatial variation characteristics and development trends of urban functional areas in Shanghai from 2011 to 2021,and uses the TF-IDF algorithm to build a POI weight calculation model.By dividing urban grid units and using POI weight and frequency density to identify urban functional areas greatly compensates for the shortcomings of traditional artificial subjective weight assignment,and the identification and division of urban functional areas is more accurate and reliable.Using the transition matrix of urban functional areas to analyze the change characteristics of urban functional areas in Shang-hai in the past 10 years,the decline trend of the non-data areas is relatively large,and they are mainly transformed into industrial,public facilities,commercial and functional areas,etc.The number of functional areas of commercial services and public facilities also decreased to a certain extent,and the number of functional areas of commercial services and public facilities increased significantly.The number of industrial functional areas.To a certain extent,the number of functional areas for commercial services and public facil-ities has increased significantly,which is basically consistent with Shanghai′s development plan in recent years,providing relatively reliable basic data for the city′s future development plan and industrial layout.
POI dataTF-IDF algorithmurban functional areatransition matrix
NETL
NSTL
万方数据
