Zhu Xiongwei, Li Dezhi, Zhou Shenghua, Zhu Shiyao, Yu Lugang
Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, 210018, China.
Engineering Research Center of Building Equipment, Energy, and Environment, Ministry of Education, Southeast University, Nanjing, 210018, China.
Sci Rep. 2024 Sep 3;14(1):20461. doi: 10.1038/s41598-024-68417-4.
The construction models of smart cities and low-carbon cities are crucial for advancing global urbanization, enhancing urban governance, and addressing major urban challenges. Despite significant advancements in smart and low-carbon city research, a consensus on their coupling coordination remains elusive. This study employs mixed-method research, combining qualitative and quantitative analyses, to investigate the coupling coordination between urban smart performance (SCP) and low-carbon level (LCL) across 52 typical smart and low-carbon pilot cities in China. Independent evaluation models for SCP and LCL qualitatively assess the current state of smart and low-carbon city construction. Additionally, an Entropy-TOPSIS-Pearson correlation-Coupling coordination degree (ETPC) analysis model quantitatively examines their relationship. The results reveal that smart city initiatives in China significantly outperform low-carbon city development, with notable disparities in SCP and LCL between eastern, non-resource-based, and central cities versus western, resource-dependent, and peripheral cities. A strong positive correlation exists between urban SCP and overall LCL, with significant correlations in management, society, and economy, and moderate to weak correlations in environmental quality and culture. As SCP levels improve, the coupling coordination degree between the urban SCP and LCL systems also increases, driven primarily by economic, management, and societal factors. Conversely, the subsystems of low-carbon culture and environmental quality show poorer integration. Based on these findings, this study proposes an evaluation system for smart and low-carbon coupling coordination development, outlining pathways for future development from the perspective of urban complex systems.
智慧城市和低碳城市的建设模式对于推进全球城市化、加强城市治理以及应对重大城市挑战至关重要。尽管智慧城市和低碳城市研究取得了显著进展，但它们的耦合协调仍未达成共识。本研究采用混合方法研究，结合定性和定量分析，调查中国52个典型智慧城市和低碳试点城市的城市智慧表现（SCP）与低碳水平（LCL）之间的耦合协调情况。SCP和LCL的独立评估模型定性评估智慧城市和低碳城市建设的现状。此外，熵权TOPSIS-皮尔逊相关性-耦合协调度（ETPC）分析模型定量检验它们之间的关系。结果显示，中国的智慧城市举措显著优于低碳城市发展，东部、非资源型和中部城市与西部、资源依赖型和周边城市在SCP和LCL方面存在显著差异。城市SCP与整体LCL之间存在强正相关，在管理、社会和经济方面存在显著相关性，在环境质量和文化方面存在中度至弱相关性。随着SCP水平的提高，城市SCP与LCL系统之间的耦合协调度也会增加，主要由经济、管理和社会因素驱动。相反，低碳文化和环境质量子系统的整合程度较差。基于这些发现，本研究提出了一个智慧城市与低碳耦合协调发展的评估体系，从城市复杂系统的角度勾勒了未来发展路径。
