Spatio-temporal heterogeneity of urban resilience from an environment– service–connectivity perspective: A case study of Beijing

IF 4.7 4区 环境科学与生态学 Q2 ENVIRONMENTAL STUDIES
Menghua Zhu, Chenhong Xia, Xiaodong Guo, Wei Wang, Donghui Ma
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Abstract

To address the systemic complexity and uncertainty risks associated with urbanization, this study develops a spatiotemporal dynamic evaluation model of urban resilience based on a three-dimensional “environment–service–connectivity” framework. Taking Beijing as a case study, the model integrates entropy-weighted TOPSIS, coupling coordination analysis, geographic detection, and geographically weighted regression to systematically reveal the spatiotemporal characteristics of urban resilience, the coupling mechanisms among its dimensions, and the spatial heterogeneity of influencing factors for 2010, 2015, and 2020. The results indicate that: (1) overall urban resilience in Beijing continuously improved over the study period, exhibiting a spatial pattern of higher resilience in central and southeastern areas and lower resilience in northern and southwestern regions; (2) the coupling coordination among the environmental, service, and connectivity dimensions gradually improved but remained at an early coordination stage, with three typical regional types identified: “high resilience–basic coordination”, “high resilience–basically uncoordinated”, and “low resilience–extremely uncoordinated”; (3) service facility diversity was identified as the dominant factor driving resilience enhancement, while the effects of other factors showed significant spatial heterogeneity. Specifically, resilience in the western ecological conservation areas was mainly driven by the proportion of cultivated and forested land, in northern regions by the normalized difference vegetation index (NDVI), in north-central areas by road network density, and in central and southern regions by proximity to medical facilities. This study demonstrates that the proposed model can effectively identify resilience gaps at the grid-cell level, providing a scientific basis for targeted spatial governance and differentiated strategies to enhance urban resilience in Beijing.
环境服务连通性视角下城市弹性的时空异质性——以北京市为例
为解决城市化的系统复杂性和不确定性风险,建立了基于三维“环境-服务连通性”框架的城市弹性时空动态评价模型。以北京市为例,采用熵加权TOPSIS、耦合协调分析、地理检测、地理加权回归等方法,系统揭示了2010年、2015年和2020年城市弹性的时空特征、各维度间的耦合机制以及影响因素的空间异质性。结果表明:①研究期间,北京市城市弹性总体持续提升,呈现出中部和东南部弹性较高、北部和西南部弹性较低的空间格局;②环境、服务、连通性三个维度的耦合协调性逐渐增强,但仍处于早期协调阶段,形成了“高弹性-基本协调”、“高弹性-基本不协调”和“低弹性-极度不协调”3种典型的区域类型;(3)服务设施多样性是影响弹性增强的主导因素,其他因素的影响具有显著的空间异质性。具体而言,西部生态保护区的恢复力主要受耕地和林地比例驱动,北部地区受归一化植被指数(NDVI)驱动,中北部地区受路网密度驱动,中南部地区受医疗设施邻近程度驱动。研究结果表明,该模型能够有效识别网格单元水平的弹性差距,为北京城市弹性的针对性空间治理和差别化策略提供科学依据。
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来源期刊
CiteScore
4.30
自引率
1.10%
发文量
791
审稿时长
79 days
期刊介绍: The Chinese Journal of Population, Resources and Environment (CJPRE) is a peer-reviewed international academic journal that publishes original research in the fields of economic, population, resource, and environment studies as they relate to sustainable development. The journal aims to address and evaluate theoretical frameworks, capability building initiatives, strategic goals, ethical values, empirical research, methodologies, and techniques in the field. CJPRE began publication in 1992 and is sponsored by the Chinese Society for Sustainable Development (CSSD), the Research Center for Sustainable Development of Shandong Province, the Administrative Center for China's Agenda 21 (ACCA21), and Shandong Normal University. The Chinese title of the journal was inscribed by the former Chinese leader, Mr. Deng Xiaoping. Initially focused on China's advances in sustainable development, CJPRE now also highlights global developments from both developed and developing countries.
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