Abstract
Cities are the main carriers of high population agglomeration and socio-economic activities and are also the areas where contradictions among production, living, and ecological space are concentrated. Effective identification of production–living–ecological space is conducive to the balanced and sustainable development of urban space. First, this paper analyzes the formation mechanism and connotation of urban production–living–ecological space and constructs the classification system of point-of-interest (POI) data. Then, it identifies the production–living–ecological space in the central urban area of Wuhan effectively by using the analytic hierarchy process, spatial analysis method, and the quadrat proportion method and verifies the accuracy of production–living–ecological space by the sampling verification method. Last but not least, it adopts spatial auto-correlation analysis and Geo-detector to reveal spatial heterogeneity and its driving factors. The results indicate that: (1) The overall accuracy of the identification accuracy test of production–living–ecological space in Wuhan is 92.86%. (2) There is a significant spatial correlation among production space, living space, and ecological space in the central urban area of Wuhan with living space being the dominant space and production space the secondary space intersected and embedded in the north and south banks of the Yangtze River. (3) Results of the analysis of the driving factor show that elements comprising life services, corporate enterprises, and scenic spots play a leading role in realizing the living space, the production space, and the ecological space, respectively, and the interactions between these elements have a significant driving effect on the three types of space. The results prove that POI big data are more scientific and practical in urban spatial planning, and it can provide a useful reference for the sustainable development of spatial planning.
Highlights
In recent years in China, rapid industrialization and urbanization have put great pressure on agricultural and ecological space and have resulted in intense contradictions between agriculture, ecology, and urbanization with the result that the sustainable development and utilization of available land have been severely impacted [1]
The ESDP (European Spatial Development Planning) categorizes space according to regional functions, population, and administrative elements [5]; the United Kingdom has compiled spatial planning based on the three dimensions of economy, society, and the environment [6]; the United States has constructed a spatial planning model that consists of a comprehensive framework of “livable communities, human capital, transnational governance, and regional mobility” [7]; Japan has compiled a spatial planning model
A 300 m × 300 m grid was constructed as the basic identification unit to identify the production–living–ecological space, and the number of process were used to calculate the weight of each element in the classification system, and the value was assigned according to the public’s cognition of the area of the geographical entity
Summary
In recent years in China, rapid industrialization and urbanization have put great pressure on agricultural and ecological space and have resulted in intense contradictions between agriculture, ecology, and urbanization with the result that the sustainable development and utilization of available land have been severely impacted [1]. There is clearly an urgent need for optimization of the available land space [2,3] In this regard, countries, based on their unique situation and conditions, compile sustainable development data on spatial planning to deal with the increasingly competitive human–land contradiction [4]. Some focus is given to the production–living–ecological space whereby the aim is to realize the coordination and optimization of production space, living space, and ecological space. Such a strategy has been widely accepted by academic communities and government departments in China [11]. The premise and foundation of spatial planning is spatial identification; research on spatial identification is urgently needed
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