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Abstract
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.
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1 Southeast University, Department of Construction and Real Estate, School of Civil Engineering, Nanjing, China (GRID:grid.263826.b) (ISNI:0000 0004 1761 0489)
2 Southeast University, Department of Construction and Real Estate, School of Civil Engineering, Nanjing, China (GRID:grid.263826.b) (ISNI:0000 0004 1761 0489); Southeast University, Engineering Research Center of Building Equipment, Energy, and Environment, Ministry of Education, Nanjing, China (GRID:grid.263826.b) (ISNI:0000 0004 1761 0489)
3 The University of British Columbia, Department of Wood Science, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)