Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis
Joint Authors
Huang, Yan
Liu, Fan
Xie, Yuwei
Zhang, Xinxin
Zhang, Wei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
With the development of industrialization and urbanization, cities have become the main carriers of economic activities.
However, the long-term development of cities has also caused damage to resources and the environment.
Hence, objective and scientific evaluation of urban low-carbon sustainable development capacity is very important.
An index system of urban low-carbon sustainable development capability is constructed in this paper, and a TOPSIS-BP neural network model is established to evaluate the low-carbon sustainable development capability of Beijing, Shanghai, Shenzhen, and Guangzhou in China.
At the same time, the difference degree of low-carbon sustainable development level in these four cities is analyzed by standard deviation and coefficient of variation, and the influencing factors of urban low-carbon sustainable development ability are extracted by grey correlation analysis.
The results show that (1) the capability of low-carbon sustainable development in four cities is rising and the difference of low-carbon sustainable development capability is decreasing; (2) the general view that the higher the general investment in low-carbon sustainable development, the higher the level of low-carbon sustainable development in cities has not been verified; (3) with the change of time series, the factors affecting the capability of low-carbon sustainable development in the same city are different and the influence of the same factor on the capability of low-carbon sustainable development in different cities is different.
American Psychological Association (APA)
Zhang, Wei& Zhang, Xinxin& Liu, Fan& Huang, Yan& Xie, Yuwei. 2020. Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis. Complexity،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1143017
Modern Language Association (MLA)
Zhang, Wei…[et al.]. Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis. Complexity No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1143017
American Medical Association (AMA)
Zhang, Wei& Zhang, Xinxin& Liu, Fan& Huang, Yan& Xie, Yuwei. Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis. Complexity. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1143017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143017