Research on the Spatial Identification and Influencing Factors of Urban Growth and Shrinkage in County Areas:A Case Study of County-level Cities in Suzhou
The article selects 34 towns(streets)in Suzhou county-level cities,and uses two methods of single-dimensional population identification and multi-dimensional comprehensive index identification to spatially identify the urban growth and shrinkage of Suzhou county-level cities.The following conclusions are obtained:(1)In terms of single dimension population recognition,there are 11 shrinking towns and 23 growing towns;(2)In terms of multi-dimensional comprehensive indicator identification,the number of shrinking towns and growing towns is the same,both of which are 17;(3)Based on the two identification methods,there are 24 growth towns and 10 shrinkage towns.At present,Taicang,Zhangjiagang and Changshu all have shrinkage towns,while Kunshan has no shrinkage towns and they are all growth towns.Based on this,the panel data model is used to explore the influencing factors of urban growth and shrinkage from the perspectives of population,economy and society,and to put forward relevant suggestions for the future development of small towns in Suzhou county-level cities.
urban growthurban shrinkagespatial recognitioninfluencing factorscounty-level cities in Suzhou
NETL
NSTL
万方数据
