Planning Strategies for High-quality Development of Construction Land Based on"Second Survey"and"Third Survey"Data:A Case Study from Five Provinces and One City
The change of construction land is a direct mapping of the spatial growth process of urban and rural space,and the reasonable control of its scale and spatial layout is the core content of territorial spatial planning.Based on the data of"Second National Land Survey"and"Third National Land Survey",and using competitive state and decoupling models,the spatio-temporal evolution patterns of construction land and the level of intensive use in Shandong,He'nan,Anhui,Jiangsu,Zhejiang and Shanghai are analyzed,and the differentiated zoning control planning strategies for high-quality development is proposed,forming a new framework of"dynamic analysis-performance evaluation-policy design".The study finds that spatial variation in the scale of construction land among different cities in Shandong,He'nan,Anhui,Jiangsu,Zhejiang and Shanghai is large and highly concentrated,and that the changing pattern has transformed from"stock update cities,high-speed growth cities as the mainstay,incremental expansion cities,stagnant contraction cities as the auxiliary"to"stock update cities,stagnant contraction cities as the mainstay,incremental expansion cities,high-speed growth cities as the auxiliary".The matching relationship between construction land and population/economic growth is becoming increasingly diverse,with population-led land use intensification lagging behind economic orientation.Based on the changing trends and the matching or conflicting degrees of decoupling relationship,five types of planning zoning are proposed:incremental high-quality development zone,decremental innovative development zone,incremental quality development zone,decremental quality development zone,and smart shrinking development zone,and corresponding management policies and recommendations are put forward.
spatial planningconstruction landplanning strategynational land survey
国家科技期刊平台
NSTL
万方数据
