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韧性城市实验:对中国安全发展政策示范城市的评估

Experiment in resilient city: An evaluation of China's demonstration city of safe development policies.

作者信息

Liu Juan, Wang Chengli, Zhang Rui

机构信息

School of Law and Humanities, China University of Mining and Technology, Xuzhou, China.

School of Public Policy and Management, China University of Mining and Technology, Xuzhou, China.

出版信息

Heliyon. 2024 May 28;10(11):e32000. doi: 10.1016/j.heliyon.2024.e32000. eCollection 2024 Jun 15.

DOI:10.1016/j.heliyon.2024.e32000
PMID:38868016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11168316/
Abstract

The drive of resilient city explores a new path for urban governance in the context of risk society, and China's demonstration city of safe development (DCSD) policies are the indigenous practice of resilient city idea. This paper used text mining technology and PMC-index model to establish an evaluation system for DCSD policies. Then eight representative sample DCSD policies were assessed. The results show that the average PMC-index scores 5.38 and reaches a great consistency grade. Nine model indicators indicate that the Chinese government has a clear policy focus on the efforts of DCSD, prefers to use compulsory type policy tools, and fully mobilizes the public to participate in safe city development jointly. Meanwhile, structural imbalance in policy instruments is a prominent disadvantage. The research establishes an evaluation system for DCSD policies, and provides a new perspective for the explorations of resilient cities worldwide. The extensive applicability of the policy evaluation model needs to be studied in depth in the future.

摘要

韧性城市建设为风险社会背景下的城市治理探索了一条新路径,而中国安全发展示范城市(DCSD)政策是韧性城市理念的本土实践。本文运用文本挖掘技术和PMC指数模型建立了DCSD政策评估体系。随后对八项具有代表性的DCSD政策样本进行了评估。结果显示,PMC指数平均得分为5.38,一致性等级较高。九个模型指标表明,中国政府在DCSD工作上政策重点明确,更倾向于使用强制性政策工具,并充分动员公众共同参与安全城市建设。同时,政策工具结构失衡是一个突出的劣势。该研究建立了DCSD政策评估体系,为全球韧性城市探索提供了新视角。政策评估模型的广泛适用性未来还需深入研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/12a669dae1eb/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/f7883e675e5b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/bf218d6b9bc8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/5870f5c2106b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/6e5c4546e29b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/5437214f6454/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/8a400c63316f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/39e29f67bf4f/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/336319d66f84/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/7307c3baf933/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/86e200fbcccb/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/12a669dae1eb/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/f7883e675e5b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/bf218d6b9bc8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/5870f5c2106b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/6e5c4546e29b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/5437214f6454/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/8a400c63316f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/39e29f67bf4f/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/336319d66f84/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/7307c3baf933/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/86e200fbcccb/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ec/11168316/12a669dae1eb/gr11.jpg

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