Assessment of city sustainability-Coupling coordinated development among economy, society and environment

被引:214
作者
Li, Weiwei [1 ]
Yi, Pingtao [1 ]
机构
[1] Northeastern Univ, Sch Business Adm, Shenyang 110167, Peoples R China
基金
中国国家自然科学基金;
关键词
City sustainability; Sustainability assessment; Objective coupling weights; Coupling degree; Coupling coordination model; MULTICRITERIA DECISION-MAKING; URBAN SUSTAINABILITY; SOCIAL ECONOMY; URBANIZATION; FRAMEWORK; MODEL; INDEX;
D O I
10.1016/j.jclepro.2020.120453
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The coordination development among various subsystems, especially among economic, social and environmental subsystems, is an important part of urban sustainability that directly affects the quality of urbanization. This paper evaluated the sustainability of the 9 China's national central cities using the coupling coordination model. In the evaluation process, an objective coupling weighting method was developed by the combination of the coupling analysis and the sequential relationship analysis method. The validity of this method was illustrated by comparing the coordination level of the cities with that obtained by the entropy method. Long-term use of this method can guide the coordination development among economy, society and environment of cities. The assessment results indicate that the coordination development among economy, society and environment of the cities was not ideal. Only one city, Beijing, located in the good coordination grade. The main reason is the lower development of economic sustainability. Policy recommendations were provided to address the problem. In addition, the paper concludes that there is a great room for improvement in the coordinated development of the cities, because they showed an increase trend in coordinated development and the economic growth rate was relatively high. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 57 条
[51]   Assessing Regional Sustainability Using a Model of Coordinated Development Index: A Case Study of Mainland China [J].
Yang, Qing ;
Ding, Yang ;
de Vries, Bauke ;
Han, Qi ;
Ma, Huimin .
SUSTAINABILITY, 2014, 6 (12) :9282-9304
[52]   Assessment of City Sustainability Using MCDM with Interdependent Criteria Weight [J].
Yi, Pingtao ;
Li, Weiwei ;
Zhang, Danning .
SUSTAINABILITY, 2019, 11 (06)
[53]   Analyzing sustainability of Chinese coal cities using a decision tree modeling approach [J].
Zeng, Lijun ;
Guo, Jiaqi ;
Wang, Bingcheng ;
Lv, Jun ;
Wang, Qin .
RESOURCES POLICY, 2019, 64
[54]   City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria [J].
Zhang, Ling ;
Xu, Yan ;
Yeh, Chung-Hsing ;
Liu, Yao ;
Zhou, Dequn .
JOURNAL OF CLEANER PRODUCTION, 2016, 131 :491-499
[55]   Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions [J].
Zhao, Linlin ;
Zha, Yong ;
Zhuang, Yuliang ;
Liang, Liang .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 275 (03) :1083-1095
[56]   Coordinated Development between Urban Tourism Economy and Transport in the Pearl River Delta, China [J].
Zheng, Qiuxia ;
Kuang, Yaoqiu ;
Huang, Ningsheng .
SUSTAINABILITY, 2016, 8 (12)
[57]   An Identification Key for Selecting Methods for Sustainability Assessments [J].
Zijp, Michiel C. ;
Heijungs, Reinout ;
van der Voet, Ester ;
van de Meent, Dik ;
Huijbregts, Mark A. J. ;
Hollander, Anne ;
Posthuma, Leo .
SUSTAINABILITY, 2015, 7 (03) :2490-2512