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Spatial Characteristics and Influencing Factors of Urban Resilience from the Perspective of Daily Activity: A Case Study of Nan**g, China

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Abstract

Based on the connotation of urban resilience and the main contradictions of China’s urbanization, urban resilience is placed within the main daily activities contradictory scene of the urban man-land system to build a theoretical framework of urban activity resilience. Relying on geographic big data, this study identifies the spatial characteristics of activity resilience, reveals the impact of activity environment on activity resilience in Nan**g, and proposes countermeasures. The main conclusions are as follows. 1) Activity resilience presents a composite spatial structure of circles and clusters, and most areas are resilient but at a low level. 2) There are significantly positive and negative global autocorrelation between activity resilience and activity scale, and activity stability. Simultaneously, there also exists a local spatial autocorrelation with the opposite positive and negative trends. 3) Activity environment has a significant effect on activity resilience, and the degree and direction of influence among different dimensions and regions are heterogeneous. 4) For activity resilience, it is necessary to increase the matching degree between the scale and stability of activities, and reduce the excessive concentration and flow of activities. For the activity environment, it is necessary to improve the accessibility of the ecological environment, strengthen the high-quality supply of the infrastructure environment, optimize the balance of the location environment, and promote the inclusiveness of the social environment.

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Correspondence to Feng Zhen.

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Under the auspices of National Social Science Fund of China (No. 20AZD040), the Program B for Outstanding PhD Candidate of Nan**g University (No. 202002B103)

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Sun, H., Zhen, F. Spatial Characteristics and Influencing Factors of Urban Resilience from the Perspective of Daily Activity: A Case Study of Nan**g, China. Chin. Geogr. Sci. 31, 387–399 (2021). https://doi.org/10.1007/s11769-021-1201-0

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  • DOI: https://doi.org/10.1007/s11769-021-1201-0

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