Literature DB >> 33385813

Urban resilience assessment based on contradiction between supply and demand of the daily activity-environment system: A case study on Nanjing, China.

Honghu Sun1, Feng Zhen2, Zhimin Xie1.   

Abstract

In addition to safety and risk issues, urban resilience research should focus more comprehensive and universal contradictions. Considering the main contradictions of Chinese urban development, and the connotation of urban resilience, a theoretical framework is constructed based on the contradiction between supply and demand of the daily activity-environment system. Furthermore, an assessment index system of urban resilience is also developed that considers both volume and quality of demand and supply and has a grade standard. Finally, utilizing multi-source geographic big data, Nanjing is taken as a case study, the spatial characteristics and optimization path of urban resilience are identified. The main conclusions are as follows: (1) The activity-environment system resilience presents a "center-periphery" sprawling spatial structure, and it is mainly at the level of "reluctant resilience" and "almost lack of resilience". (2) The evolution of the activity-environment system resilience is still absolutely volume driven, and the positive drive of relative quality is limited or even reversed. In addition, all the bilateral local spatial autocorrelations are generally represented as "center-periphery" separated spatial structures, but it is not always consistent with the overall trend. (3) For the governance of urban resilience, it is necessary to focus on common improvement and matching of absolute volume and relative quality in contents, orderly flow, accumulation and dispersion of supply and demand in ideas, and the strong support of new ideas and technologies in methods.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Big Data; Contradiction between supply and demand; Daily activity–environment system; Spatial characteristics; Urban resilience

Year:  2020        PMID: 33385813     DOI: 10.1016/j.scitotenv.2020.144567

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

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Authors:  Li Kong; Xianzhong Mu; Guangwen Hu; Zheng Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-23       Impact factor: 5.190

2.  Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities-A Case Study of Nanjing, China.

Authors:  Peng Cui; Yi Liu; Xuan Ju; Tiantian Gu
Journal:  Int J Environ Res Public Health       Date:  2022-08-13       Impact factor: 4.614

  2 in total

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