评估中国试点城市的城市智能性能和低碳水平之间的合协调,采用混合方法
Xiongwei Zhu1, Dezhi Li2,3, Shenghua Zhou1
1Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, 210018, China.
Scientific reports
|September 3, 2024
概括
中国的智能城市计划的表现优于低碳发展,显示了智能表现和低碳水平之间的强烈联系. 经济,管理和社会因素推动了这种合协调,以改善城市发展.
科学领域:
- 城市研究,环境科学和公共政策,重点关注智能城市发展和低碳转型的交叉点.
背景情况:
- 全球城市化需要集成的智能和低碳城市模型,以实现有效的治理和减轻挑战.
- 现有的研究缺乏关于智能城市性能 (SCP) 和低碳水平 (LCL) 之间的协调发展的共识.
研究的目的:
- 在中国52个试点城市调查SCP和LCL之间的合协调.
- 确定影响智能和低碳城市发展战略整合的因素.
主要方法:
- 混合方法研究,结合定性和定量分析.
- 评估SCP和LCL的独立评估模型.
- -TOPSIS-皮尔森相关性-合协调度 (ETPC) 模型用于定量关系分析.
主要成果:
- 中国的智慧城市计划显著超过了低碳发展.
- 在不同类型的城市中存在SCP和LCL的差异 (东部与西部,非资源基础与资源依赖).
- 由于经济,管理和社会因素,观察到SCP和LCL之间存在强烈的正相关性,尽管环境和文化子系统的整合较弱.
结论:
- 智能城市的表现积极影响了与低碳水平的合协调.
- 经济,管理和社会子系统是综合智能和低碳发展的关键驱动力.
- 提出了智能和低碳合协调的评估系统和发展途径,突出了改善整合的领域,特别是在环境和文化方面.
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