Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 688-701 |
| Number of pages | 14 |
| Journal | Sustainable Cities and Society |
| Volume | 42 |
| DOIs | |
| Publication status | Published - Oct 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Principal component analysis
- Simulation evaluation
- System dynamics
- Urban low-carbon competitiveness
- Wuhan city circle
ASJC Scopus subject areas
- Civil and Structural Engineering
- Geography, Planning and Development
- Renewable Energy, Sustainability and the Environment
- Transportation
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