中国城市基础设施弹性评价与障碍识别

Li ZHUANG, Zhonglei YU, Chang SUN, Xiaojing HOU
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引用次数: 0

摘要

城市基础设施是城市正常运行的生命线和物质基础。准确评价城市基础设施韧性水平,识别城市韧性建设的主要障碍因素,对建设韧性城市具有重要意义。本文从灾前预防能力、灾后抗灾能力和灾后恢复能力三个维度构建了城市基础设施韧性评价指标体系。采用CRITIC方法确定指标权重,并基于障碍度模型(ODM)识别主要障碍因素。结果表明,中国城市基础设施弹性总体较低,且各省市之间的结构差异较大。影响城市基础设施抗灾能力的主要障碍因素包括开展灾前预防和灾后恢复的电力、天然气和水的生产和供应能力,建设基础设施恢复项目的能力,以及确保能源供应和电力供应的能力。建议将“韧性”理念贯穿于城市规划、建设和治理的全过程,了解城市基础设施现状,协调资金、人力、技术等资源投入,增强城市基础设施系统的鲁棒性和冗余性,积极优化城市基础设施布局;不断提高智能技术在基础设施系统中的应用。
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The Evaluation and Obstacle Identification of Urban Infrastructure Resilience in China
Urban infrastructure is the lifeline and material foundation for the normal operation of cities. It is of great significance to accurately evaluate the resilience level of urban infrastructure and identify the main obstacle factors for the construction of resilient cities. This paper establishes an index system for urban infrastructure resilience evaluation from three dimensions: Pre-disaster prevention capacity, disaster resistance capacity, and post-disaster recovery capacity. It also uses the CRITIC method to determine the index weights and identifies the main obstacle factors based on the obstacle degree model (ODM). The results show that urban infrastructure resilience in China is generally low and varies greatly in terms of structure across provinces and municipalities. The main obstacle factors affecting urban infrastructure resilience include the capacities to conduct pre-disaster prevention and post-disaster recovery in the production and supply of electricity, gas and water, to construct infrastructure recovery projects, and to ensure energy supply and power supply. It is recommended to promote the application of the concept of “resilience” throughout the entire process of urban planning, construction and governance, understand the current situation of urban infrastructure, coordinate the investment of resources such as funding, manpower and technology, enhance the robustness and redundancy of urban infrastructure systems, actively optimize the layout of urban infrastructure, and continuously improve the application of intelligent technologies in infrastructure systems.
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1.90
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0.00%
发文量
24
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