基于PMC指数模型和多维分析框架的整合,对中国智能建筑政策 (CICP) 的定量评估进行研究
Xiongquan Ou1, Ming Ma2,3, Wei Wang4
1School of Art Design and Media, Sanda University, Shanghai, P.R.China.
PloS one
|July 15, 2025
概括
中国中国中国中国.
科学领域:
- 建设政策 建设政策
- 公共政策分析 公共政策分析
- 智能系统是一个智能系统.
背景情况:
- 中国的智能建设政策 (CICP) 在2010年至2022年期间发生了重大变化.
- 了解这些政策的制定质量和有效性对于可持续发展至关重要.
研究的目的:
- 从2010年到2022年系统评估中国智能建设政策 (CICP) 的质量,发展和有效性.
- 确定CICP开发的关键阶段和趋势,并提供优化建议.
主要方法:
- 使用政策建模一致性 (PMC) 指数模型进行定量分析.
- 30个国家政策的文本挖掘和文献计量分析.
- 确定政策制定阶段:培养和探索阶段 (2010-2019) 和开发和推广阶段 (2020-2022).
主要成果:
- 观察到CICP质量的显著改善,在开发和推广阶段PMC得分更高.
- 政策从分散过渡到综合战略,强调工业化,数字化和可持续性.
- 在政策范围,有效性和激励机制方面发现了差距.
结论:
- CICP显著改善,特别是在最近几年,与工业和技术进步保持一致.
- 建议包括扩大政策范围,加强实施,促进创新生态系统.
- 优化CICP对于满足不断变化的行业需求和促进智能建筑至关重要.
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