Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (10): 2439-2458.doi: 10.11821/dlxb202110008

• Urban and Regional Development • Previous Articles     Next Articles

Analyzing spatial characteristics of urban resource and environment carrying capacity based on Covert-Resilient-Overt:A case study of Wuhan city

WU Hao1,2(), JIANG Zhimeng1,2, LIN Anqi1,2, ZHU Wenchao1,2, WANG Wei1,2   

  1. 1. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
    2. Hubei Province Key Laboratory for Geographical Process Analysis and Simulation, Wuhan 430079, China
  • Received:2021-02-18 Revised:2021-08-31 Online:2021-10-25 Published:2021-12-25
  • Supported by:
    National Natural Science Foundation of China(42071358);National Natural Science Foundation of China(41671406);Natural Resource Science Project of Hubei Province(ZRZY2020KJ01);Fundamental Research Funds for the Central Universities(CCNU20TS035)


The resources and environment carrying capacity (RECC) is a barometer of the development of urban territory space, so exploring the spatial characteristics of RECC is greatly significant for optimizing the territory spatial pattern. In this context, this paper uses new urban geographic information data, such as night-time lights and atmospheric remote sensing, points of interest, historical traffic situation and social media, on the basis of relevant procedures and guidelines. Furthermore, a theoretical framework based on the covert-resilient-overt analysis of the spatial characteristics of urban RECC is proposed, and a method combining spatial autocorrelation and fractal geometry is developed for spatial characteristics mining of RECC. Taking Wuhan as an example to carry out research, the results show that: (1) The distribution of RECC in Wuhan has significant spatial heterogeneity. Areas with higher covert carrying capacity are concentrated in the Huangpi District and Xinzhou District with superior ecological environment in the northern periphery of the city, areas with high resilient carrying capacity are concentrated in the central urban area with strong comprehensive risk response capabilities, and areas with high overt carrying capacity are located in the sub-center of the city with sound basic functions. (2) The RECC in Wuhan has positive spatial aggregation, and it shows significant radius-centripetal fractal and circle characteristics. The areas of high covert carrying capacity spread radially around, and the areas with high resilient carrying capacity are concentrated in the core of the city in a centripetal shape, the areas with high overt carrying capacity are between the areas with high values of covert and resilient carrying capacity. In conclusion, the spatial characteristics analysis and mining method system of urban RECC constructed in this paper make up for the shortcomings of the low dynamics of traditional data by introducing multi-source spatial temporal data, and improves the theoretical and technical paradigm of urban RECC research. The research provides a new way of thinking for the carrying capacity of urban resources and environment.

Key words: urban resource and environmental carrying capacity, spatial feature, urban resilience, spatial autocorrelation, fractal geometry, Wuhan city