期刊文献+

陕西省城市自然灾害韧性时空演变与影响因素

Spatiotemporal Evolution and Influencing Factors of Urban Natural Disaster Resilience in Shaanxi Province
在线阅读 下载PDF
导出
摘要 在面临全球环境变化、城市化加快以及流行病频发等复杂挑战的背景下,“韧性”一词为城市抵御不确定风险提供了新的研究方向。为探讨陕西省城市自然灾害韧性的时空演变及障碍因子,提高自然灾害城市韧性水平。基于熵权-逼近理想解的排序方法(technique for order preference by similarity to ideal solution,TOPSIS)从经济、社会、基础设施和生态环境4个维度评估韧性水平,结合GIS、泰尔指数和重心-标准差椭圆探究陕西省2018—2022年各城市韧性水平时空演变特征,运用障碍度诊断模型分析其影响因素。结果表明:时序演变上,研究期内,除咸阳市外其他城市自然灾害韧性水平总体呈现上升趋势,从研究的4个维度来看,经济韧性、社会韧性和基础设施韧性总体为上升趋势,生态环境韧性略有降低;空间格局上,陕西省自然灾害韧性总体呈现“关中地区>陕北地区>陕南地区”的分布格局;影响因素来看,自然灾害韧性主要受基础设施韧性和生态环境韧性影响。研究成果可为陕西省制定区域自然灾害管理政策和韧性城市规划提供理论参考。 The concept of“resilience”is introduced as a new research direction for cities to withstand uncertain risks in the face of complex challenges such as global environmental changes,accelerated urbanization,and frequent epidemics.To explore the spatiotemporal evolution and obstacle factors of urban natural disaster resilience in Shaanxi Province to enhance resilience against natural disasters.The entropy weight-technique for order preference by similarity to ideal solution(TOPSIS)method was used to assess resilience levels across four dimensions:economy,society,infrastructure,and ecological environment.The spatiotemporal evolution characteristics of resilience in Shaanxi Province from 2018 to 2022 were examined using a combination of GIS,Theil index,and centerstandard deviation ellipse.An obstacle degree diagnosis model was employed to analyze influencing factors.The results indicate that over time,the overall resilience level against natural disasters in cities,except for Xianyang,shows an upward trend.Overall resilience,social resilience,and infrastructure resilience increase,while ecological environment resilience slightly declines.Spatially,the resilience in Shaanxi Province follows a pattern of“Guanzhong region>Northern Shaanxi region>Southern Shaanxi region.”The major influencing factors are infrastructure resilience and ecological environment resilience,with the length of urban drainage pipelines and greening coverage area identified as the top obstacles restricting urban resilience.The research findings are expected to provide theoretical references for regional natural disaster management and resilient urban planning in Shaanxi Province.
作者 郑学召 熊艳玲 童鑫 张心怡 苏海蛟 ZHENG Xue-zhao;XIONG Yan-ling;TONG Xin;ZHANG Xin-yi;SU Hai-jiao(College of Safety Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Xi'an Research Center of National Mine Rescue,Xi'an 710054,China)
出处 《科学技术与工程》 北大核心 2025年第16期6993-7003,共11页 Science Technology and Engineering
基金 陕西省社会科学基金(2022R058) 陕西省哲学社会科学研究专项项目(2023HZ1554)。
关键词 自然灾害 城市韧性 时空演变 泰尔指数 障碍度诊断 natural disasters urban resilience spatiotemporal evolution Theil index impairment diagnosis
作者简介 第一作者:郑学召(1977-),男,汉族,新疆巴音郭楞蒙古自治州人,博士,教授。研究方向:应急技术与管理、灾害应急救援。E-mail:zhengxuezhao@xust.edu。
  • 相关文献

参考文献17

二级参考文献211

共引文献388

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部