TY - JOUR
T1 - Simulation evaluation of urban low-carbon competitiveness of cities within Wuhan city circle in China
AU - Guo, Haixiang
AU - Yang, Chunmiao
AU - Liu, Xiao
AU - Li, Yijing
AU - Meng, Qingliang
N1 - Funding Information:
This research has been supported by National Natural Science Foundation of China under Grant No. 71573237 ; New Century Excellent Talents in University of China under Grant No. NCET-13-1012 ; Research Foundation of Humanities and Social Sciences of Ministry of Education of China No. 15YJA630019 ; Special Funding for Basic Scientific Research of Chinese Central University under Grant No. CUG120111 , CUG110411 , G2012002A , CUG140604 , CUG160605 ; Natural Science Foundation of Hubei Province of China No. 2016CFB503 ; China Institute of Geo-environment Monitoring No. 0001212016CC60013 ; Open Foundation for the Research Center of Resource Environment Economics in China University of Geosciences (Wuhan) (Grant No. H2017003A ).
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/10
Y1 - 2018/10
N2 - Low-carbon city (LCC) is on the uptrend as it has been the goal of many cities in China. Urban low-carbon competitiveness (ULCC) reflects LCC construction results. Therefore, it is imperative to detect problems in the development of ULCC. Firstly, an evaluation indicator system of ULCC was established from the perspectives of driving and resistant force. Principal component analysis and K-means clustering analysis were employed for the evaluation and classification of ULCC of cities in Wuhan city circle respectively. The results were checked by fuzzy analytic hierarchy process, and obstacle indicators analysis was used to find obstacles of each city. Secondly, this paper simulated the growth of ULCC via system dynamics modeling to find out problems of cities. The results showed that Wuhan and Huangshi will take the lead obviously in the development of ULCC, while there was little difference among other cities in this respect. Low-carbon competitiveness evolution trajectories of most cities were rising in the entire study period, but some presented a U-shaped type or a vibrating type. Most of these cities had problems in the process of low-carbon development. Suggestions for each city are provided to improve their ULCC in the construction of LCC based on the concrete analysis.
AB - Low-carbon city (LCC) is on the uptrend as it has been the goal of many cities in China. Urban low-carbon competitiveness (ULCC) reflects LCC construction results. Therefore, it is imperative to detect problems in the development of ULCC. Firstly, an evaluation indicator system of ULCC was established from the perspectives of driving and resistant force. Principal component analysis and K-means clustering analysis were employed for the evaluation and classification of ULCC of cities in Wuhan city circle respectively. The results were checked by fuzzy analytic hierarchy process, and obstacle indicators analysis was used to find obstacles of each city. Secondly, this paper simulated the growth of ULCC via system dynamics modeling to find out problems of cities. The results showed that Wuhan and Huangshi will take the lead obviously in the development of ULCC, while there was little difference among other cities in this respect. Low-carbon competitiveness evolution trajectories of most cities were rising in the entire study period, but some presented a U-shaped type or a vibrating type. Most of these cities had problems in the process of low-carbon development. Suggestions for each city are provided to improve their ULCC in the construction of LCC based on the concrete analysis.
KW - Principal component analysis
KW - Simulation evaluation
KW - System dynamics
KW - Urban low-carbon competitiveness
KW - Wuhan city circle
UR - http://www.scopus.com/inward/record.url?scp=85049725014&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2018.04.030
DO - 10.1016/j.scs.2018.04.030
M3 - Journal article
AN - SCOPUS:85049725014
SN - 2210-6707
VL - 42
SP - 688
EP - 701
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
ER -
