Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities
Peng Cui (),
Ping Zou,
Xuan Ju,
Yi Liu and
Yalu Su
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Peng Cui: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Ping Zou: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Xuan Ju: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Yi Liu: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Yalu Su: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
IJERPH, 2022, vol. 19, issue 22, 1-15
Abstract:
In the post-epidemic era, China’s urban communities are at the forefront of implementing the whole chain of accurate epidemic prevention and control. However, the uncertainty of COVID-19, the loopholes in community management and people’s overly optimistic judgment of the epidemic have led to the frequent rebound of the epidemic and serious consequences. Existing studies have not yet formed a panoramic framework of community anti-epidemic work under the concept of resilience. Therefore, this article first summarizes the current research progress of resilient communities from three perspectives, including ideas and perspectives, theories and frameworks and methods and means, and summarizes the gap of the current research. Then, an innovative idea on the epidemic resilience of urban communities in China is put forward: (1) the evolution mechanism of community anti-epidemic resilience is described through the change law of dynamic networks; (2) the anti-epidemic resilience of urban communities is evaluated or predicted through the measurement criteria; (3) a simulation platform based on Multi-Agent and dynamic Bayesian networks simulates the interactive relationship between “epidemic disturbance–cost constraint-–epidemic resilience”; (4) the anti-epidemic strategies are output intelligently to provide community managers with decision-making opinions on community epidemic prevention and control.
Keywords: urban communities; COVID-19; anti-epidemic resilience; dynamic network; computational experiments (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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