Resilience Measurements and Dynamics of Resource-Based Cities in Heilongjiang Province, China

Ming Lu, Zhuolin Tan (), Chao Yuan, Yu Dong and Wei Dong
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Ming Lu: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Zhuolin Tan: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Chao Yuan: Department of Architecture, National University of Singapore, Singapore 117566, Singapore
Yu Dong: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Wei Dong: School of Architecture, Harbin Institute of Technology, Harbin 150006, China

Land, 2023, vol. 12, issue 2, 1-22

Abstract: In the process of sustainable transformation, resource-based cities (RBCs) in Heilongjiang are in a dilemma. Resilience is a key capability to help RBCs deepen sustainable development, adapt to shocks, and exit the transformation dilemma. This study aims to clarify the resilience measurements and dynamics of RBCs and propose targeted resilience enhancement strategies. First, we construct a resilience indicator system based on the urban complex adaptive system (CAS) and use principal component analysis (PCA) to specify indicator weights to obtain the resilience values of RBCs in Heilongjiang Province during 2010–2019, then use cluster analysis to classify five resilience grades. Second, we identify and analyze the resilience dynamics of RBCs in Heilongjiang Province from 2010–2019 based on the adaptive cycle framework. The results indicate that the overall resilience dynamics of RBCs have exhibited an upward trend over the past decade, but there are clear variations in the level of resilience values and dynamics between the different types of RBCs. The petroleum-based city has the highest level of resilience, is less affected by shocks, and recovers quickly. Forest-based cities have a medium level of resilience and are able to recover from shocks, but they fail to improve and remain at a medium level for a long time. Coal-based cities have a low level of resilience and find it difficult to recover from shocks, but this has improved since 2017. Finally, we propose targeted resilience enhancement strategies for RBCs of different types and resilience levels in Heilongjiang Province to provide RBCs with directional guidance for overcoming the development dilemma through resilience measures.

Keywords: urban resilience; adaptive cycle framework; resource-based cities; resilience dynamics; complex adaptive system (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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