Zhu Xiongwei, Li Dezhi, Zhu Shiyao, Ting ShiAn
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.
Heliyon. 2024 Aug 2;10(16):e35569. doi: 10.1016/j.heliyon.2024.e35569. eCollection 2024 Aug 30.
Smart cities were originally conceived to address a myriad of urban challenges arising from rapid urbanization, including energy scarcity, congestion, and environmental degradation. The Chinese government has made substantial efforts to advance smart city initiatives. However, the extent to which the integration of smart technologies contributes to urban sustainability, especially within a high-carbon urbanization paradigm, poses a critical question in light of escalating extreme weather events and worsening global challenges. Urgency is underscored in prioritizing low-carbon strategies within smart city frameworks. This paper presents a Multicriteria Decision Making Network (MCDN) approach to assess and rank the low-carbon levels (LCL) of 36 pilot smart cities in China. Findings reveal that overall LCL among these cities remains relatively modest, with significant disparities attributed to varying economic, social, institutional, cultural, and environmental contexts. The study also delves into the nexus between urban intelligence and LCL, highlighting a discernible positive correlation between a city's smartness and its low-carbon profile. Moreover, empirical evidence suggests that advancements in smart technologies are conducive, albeit to varying degrees, to enhancing urban LCL. In light of these findings, recommendations are made to fortify economic and social advancement, bolster management practices, and foster multi-stakeholder collaboration to propel the coordinated development of smart and low-carbon initiatives in China.
智慧城市最初旨在应对快速城市化带来的诸多城市挑战,包括能源短缺、拥堵和环境退化。中国政府已做出大量努力来推进智慧城市倡议。然而,鉴于极端天气事件不断升级和全球挑战日益严峻,智能技术的整合对城市可持续性的贡献程度,尤其是在高碳城市化模式下,成为一个关键问题。在智慧城市框架内优先考虑低碳战略显得尤为紧迫。本文提出了一种多准则决策网络(MCDN)方法,用于评估和排名中国36个试点智慧城市的低碳水平(LCL)。研究结果表明,这些城市的总体低碳水平仍然相对较低,由于经济、社会、制度、文化和环境背景的不同存在显著差异。该研究还深入探讨了城市智能化与低碳水平之间的关系,突出了城市智能化与其低碳形象之间明显的正相关关系。此外,实证证据表明,智能技术的进步尽管程度不同,但有利于提高城市的低碳水平。鉴于这些发现,提出了加强经济和社会发展、改进管理实践以及促进多利益相关方合作的建议,以推动中国智慧城市和低碳倡议的协调发展。