The evolution of territorial space is intrinsically linked to economic growth,societal welfare,and ecological preservation.In the context of escalating spatial conflicts and stringent resource limitations,resource efficiency has emerged as a fundamental pillar for the scientific optimization of territorial space layout.Drawing upon resource efficiency metrics from cities nationwide,this study constructs scenarios for territorial space development and conservation.It assesses developmental capacity under varying preferences and subsequently delineates strategic blueprints using an integrated"point-axis-area"approach.The findings reveal that:(1)Resource efficiency in China has witnessed a consistent uptick,yet remains modest overall,with marked regional disparities.(2)Throughout the investigation period,developmental capacity has seen progressive enhancement,with a pronounced capacity in scenarios favoring development,radiating axially from urban conglomerates.(3)The layout of pivotal points and developmental axes has transitioned from a"tri-pillar"to a diamond configuration,with the coastal corridor,the Harbin-Beijing-Guangzhou corridor and the corridor along the Yangtze River standing out.(4)Strategic points progressively converge along key axes,while dominant regions exhibit clear differentiation on either side of the Hu Huanyong Line.By integrating elements of the territorial spatial structure,this paper proposes blueprints for"five horizontal and three vertical zones with eight cores and three areas","four horizontal and three vertical zones with six cores and three areas"and"three horizontal and four vertical zones with five cores and three areas",corresponding to scenarios prioritizing development,status quo maintenance,and conservation,respectively.The outcomes of this research offer a technical foundation and theoretical guidance for the pursuit of high-quality territorial space development and the vision of a picturesque landscape.
territorial spaceresource efficiencydevelopment and conservationdevelopmental capacityterritorial space blueprintsChina
NETL
NSTL
万方数据
