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城市地震韧性与风险的时空建模

Spatial-temporal modeling of urban resilience and risk to earthquakes.

作者信息

Rahimi Fatema, Sadeghi-Niaraki Abolghasem, Ghodousi Mostafa, Choi Soo-Mi

机构信息

Department of Computer Science and Engineering and Convergence Engineering for Intelligent Drone, XR Research Center, Sejong University, Seoul, Korea.

Geoinformation Technology Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K.N. Toosi University of Technology, 19697, Tehran, Iran.

出版信息

Sci Rep. 2025 Mar 10;15(1):8321. doi: 10.1038/s41598-025-92365-2.

DOI:10.1038/s41598-025-92365-2
PMID:40065115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11894111/
Abstract

In the face of burgeoning urbanization, cities and residential areas are increasingly vulnerable to diverse hazards. This research develops a spatial-temporal assessment of Bojnord City's earthquake risk and resilience, concentrating on the morning, evening, and nighttime periods. After a thorough assessment of the literature, the research identified seven key criteria and 27 sub-criteria that address important aspects. Fuzzy logic was utilized for data standardization and the DANP approach was employed to weight the criteria in order to appropriately assess resilience and risk. The IO and OWA models were used to integrate these criteria, and the results showed notable spatial and temporal disparities in risk and resilience. The results highlight the significance of integrating both temporal and spatial aspects in risk assessments and urban resilience evaluations to enhance the effectiveness of disaster management plans. The findings demonstrate that some regions are always at high risk and low resilience, regardless of the time of day, emphasizing the necessity of focused, continuous disaster preparedness plans. This approach not only validates the consideration of the dynamic criteria but also provides a replicable methodology for other cities facing similar seismic threats.

摘要

面对迅速发展的城市化,城市和居民区越来越容易受到各种灾害的影响。本研究对博季诺德市的地震风险和恢复力进行了时空评估,重点关注早晨、傍晚和夜间时段。在对文献进行全面评估后,该研究确定了七个关键标准和27个子标准,这些标准涉及重要方面。利用模糊逻辑进行数据标准化,并采用DANP方法对标准进行加权,以便适当地评估恢复力和风险。使用IO和OWA模型对这些标准进行整合,结果显示风险和恢复力存在显著的时空差异。结果强调了在风险评估和城市恢复力评估中整合时间和空间方面的重要性,以提高灾害管理计划的有效性。研究结果表明,无论一天中的什么时间,一些地区始终处于高风险和低恢复力状态,强调了制定重点突出、持续的备灾计划的必要性。这种方法不仅验证了对动态标准的考虑,还为面临类似地震威胁的其他城市提供了一种可复制的方法。

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本文引用的文献

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Risk assessment of fire, explosion and release of toxic gas of Siri-Assalouyeh sour gas pipeline using fuzzy analytical hierarchy process.基于模糊层次分析法的锡里-阿萨卢耶酸性气体管道火灾、爆炸及有毒气体泄漏风险评估
Heliyon. 2021 Aug 20;7(8):e07835. doi: 10.1016/j.heliyon.2021.e07835. eCollection 2021 Aug.
3
Constructing a comprehensive disaster resilience index: The case of Italy.构建综合灾害恢复力指数:以意大利为例。
PLoS One. 2019 Sep 16;14(9):e0221585. doi: 10.1371/journal.pone.0221585. eCollection 2019.
4
Workforce/Population, Economy, Infrastructure, Geography, Hierarchy, and Time (WEIGHT): Reflections on the Plural Dimensions of Disaster Resilience.劳动力/人口、经济、基础设施、地理、层级和时间(权重):对灾害恢复力的多维度思考。
Risk Anal. 2020 Jan;40(1):43-67. doi: 10.1111/risa.13186. Epub 2018 Sep 21.
5
The adoption of a climate disaster resilience index in Chennai, India.印度钦奈采用气候灾难恢复力指数。
Disasters. 2014 Jul;38(3):540-61. doi: 10.1111/disa.12058.