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西安市环境风险对城市韧性的影响及其路径
摘要点击 238  全文点击 7  投稿时间:2025-04-08  修订日期:2025-07-21
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中文关键词  环境风险  城市韧性  空间相关性  影响路径  西安市
英文关键词  environmental risk  urban resilience  spatial correlation  impact pathways  Xi'an
DOI  10.13227/j.hjkx.202504087
作者单位E-mail
刘睿颖 西北大学城市与环境学院, 西安 710127 liuruiying@stumail.nwu.edu.cn 
陈海 西北大学城市与环境学院, 西安 710127
陕西省地表系统与环境承载力重点实验室, 西安 710127 
chw@nwu.edu.cn 
赵如君 西北大学城市与环境学院, 西安 710127  
罗佳欣 西北大学城市与环境学院, 西安 710127  
霍小茹 西北大学城市与环境学院, 西安 710127  
赵皓雯 西北大学城市与环境学院, 西安 710127  
中文摘要
      建设能够快速应对多重环境风险且有韧性的城市对区域可持续发展意义重大. 在综合评估2010~2020年西安市环境风险和城市韧性时空变化的基础上,通过双变量空间自相关、地理加权回归探究二者时空关系,采用中介效应模型探讨影响路径. 结果表明: ①2010~2020年西安市环境风险水平波动变化,在空间上表现为中心最高、外围次之和边缘最低的分布格局,“中心-外围”特征明显;城市韧性水平逐年增长,在空间上呈片状分布模式,具有南高北低的梯度特征;②2010~2020年西安市环境风险与城市韧性整体存在空间正相关关系,正向效应逐渐增强,主要以中心城区“高-高”聚类为主;环境风险对城市韧性的影响正相关区与负相关区呈明显的“核心-边缘”二分结构,且正向影响区域范围进一步蔓延. ③西安市环境风险对城市韧性有正向直接影响与间接影响,存在整体消费能力、交通基础设施和人口流动情况这3条间接影响路径,路径类型变化呈单一化倾向.
英文摘要
      Constructing cities that could respond quickly to multiple environmental risks and are resilient is of great significance to regional sustainable development. Based on the construction of a framework for assessing environmental risk and urban resilience, the spatiotemporal heterogeneity of environmental risk and urban resilience in Xi'an from 2010 to 2020 was analyzed by using the AHP-entropy weight method, and the spatiotemporal relationship between environmental risk and urban resilience was analyzed using bivariate spatial autocorrelation and geographically weighted regression models. Finally, mediation effect modeling was used to investigate the pathways through which environmental risk affects urban resilience. The results showed that:① From 2010 to 2020, the environmental risk level in Xi'an fluctuated, spatially characterized by a distribution pattern in which the highest levels were in the central areas, followed by the outer regions, with the lowest levels at the edges, and a distinct “central-peripheral” feature. During the same period, the resilience level of Xi'an increased year by year, exhibiting a patchy spatial distribution pattern with a south-high, north-low gradient. ② From 2010 to 2020, there was an overall positive spatial correlation between environmental risk and urban resilience in Xi'an with the positive effect increasing. The areas where environmental risk had a positive correlation with urban resilience and those with a negative correlation formed a clear “core-periphery” dichotomy, with the positive impact continuing to expand. ③ Environmental risk had both direct and indirect impacts on urban resilience, with three indirect impact paths identified: overall consumption capacity, transportation infrastructure, and population mobility, and there was a tendency for path types to be homogenized.

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