ISSN 1008-2204
CN 11-3979/C

人地关系视角下社区安全韧性评价与整体性治理

Community Safety Resilience Evaluation and Holistic Governance from the Perspective of Human-Land Relations

  • 摘要: 构建安全韧性社区是筑牢城市安全发展基础的重要环节,其关键在于人地关系的协调与均衡。现有研究多聚焦社区安全韧性水平高低,较少关注社区子系统之间的安全韧性结构均衡问题。以北京市B街道为例,基于人地关系视角构建社区安全韧性评估模型,引入结构失衡惩罚因子对指标体系进行修正,并利用地理大数据与问卷调查数据进行评价。研究发现,在传统加权评价中安全韧性水平较高的社区,并不一定具备结构均衡意义上的高安全韧性水平;在引入结构均衡修正后,部分社区因物质空间与社会空间之间存在安全韧性结构失衡,其整体安全韧性评价结果出现明显下降。机制分析发现,安全韧性结构失衡主要源于社会动员能力与空间资源供给之间的响应滞后,以及空间设施布局与社会治理功能嵌入之间的耦合不足。未来,应推动以安全韧性结构均衡为导向的整体性治理,从要素协调、结构耦合与功能匹配三个方面提升社区安全韧性。

     

    Abstract: Building communities with safety resilience is an important issue in strengthening the foundation for urban safety and development, the core of which lies in the coordination and balance of human-land relations. Existing studies mainly focus on the level of resilience, while paying insufficient attention to the balance of internal structures. Taking B Subdistrict in Beijing as a case study, this research constructs a community safety resilience evaluation model from the perspective of human-land relations, introduces a structural imbalance penalty factor to revise the indicator system, and evaluates community safety resilience based on geospatial big data and questionnaire survey data. The results show that communities exhibiting relatively high resilience under traditional weighted evaluation do not necessarily possess genuinely high levels of safety resilience. After introducing the structural balance correction, the overall resilience of some communities is significantly weakened due to the imbalance between social-spatial resilience and physical-spatial resilience. Mechanism analysis further reveals that such structural imbalance mainly stems from the lag between social mobilization capacity and spatial resource supply, as well as the insufficient coupling between spatial facility layouts and embedded social governance functions. In the future, holistic governance oriented toward structural balance should be promoted to enhance community safety resilience through factor coordination, structural coupling, and functional matching.

     

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