Analysis of Sustainable Development Level for Resource-Exhausted Cities in China from Perspective of Resilience

Abstract

How to improve the sustainability of resource-exhausted cities has become a difficult problem for China to implement the sustainable development strategy, and the construction of resilient cities has become the best way to solve this problem. This paper constructed an evaluation indicator system of the sustainable development for resource-exhausted cities from the perspective of resilient cities. The entropy weight-TOPSIS-grey relational degree model was used to quantitatively analyze the sustainable development capacity of 23 resource-exhausted cities in China from 2010 to 2020. And the coupling coordination degree model was further used to analyze the relationship between urban resilience and the dimensions of economy, environment, society and resource respectively. The weak links affecting their sustainable development was explored through obstacle degree model. The research results are helpful to fully understand the current situation and obstacle factors of the sustainable development of resource-exhausted cities in China, and promote the sustainable development of cities through the construction of resilient cities.

Comprehensive Evaluation of the Quality of Rural Habitat Environment in Huizhou Cultural and Ecological Protection Zone

“…Gray correlation analysis determines the extent to which the target to be recognized affects the target of the research by comparing the strength of each association. [32,33] This approach allows quantitative methods to measure the evolution and changing dynamic of the system and is ideally adapted to kinetichistorical characterization. The correlation coefficient as well as the correlation formula were used to calculate the gray correlation of various indexes with the quality of village habitats, respectively.…”

Evaluated Post-Disaster and Emergency Assembly Areas Using Multi-Criteria Decision-Making Techniques: A Case Study of Turkey

“…The TOPSIS method's main advantage is its ability to provide a simple and easy-tounderstand mathematical form for measuring the performance of decision alternatives [50]. TOPSIS is a multi-criteria decision-making (MCDM) method that ranks the benefits and drawbacks of an evaluation object based on the Euclidean distance between the evaluation object and idealized goals [51,52].…”

“…TOPSIS is a multi-criteria decision-making (MCDM) method that ranks the benefits and drawbacks of an evaluation object based on the Euclidean distance between the evaluation object and idealized goals [51,52]. The TOPSIS method has low requirements for the number of indicators and sample size, making it easier to obtain the best solution through rigorous quantitative analysis [50,53]. The TOPSIS method is widely used in a wide range of decision-making evaluations and evaluations, including supplier selection, employee recruitment, material selection, and academic journal evaluation [50,52,54,55].…”

“…The TOPSIS method has low requirements for the number of indicators and sample size, making it easier to obtain the best solution through rigorous quantitative analysis [50,53]. The TOPSIS method is widely used in a wide range of decision-making evaluations and evaluations, including supplier selection, employee recruitment, material selection, and academic journal evaluation [50,52,54,55]. The TOPSIS method can also be used to find alternative solutions [56].…”