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成渝城市群网络空间格局及其结构韧性评估
高 鑫1, 丁晨浩2, 巫昊燕3, 余鑫鑫2
1.( 通讯作者):重庆师范大学地理与旅游 学院,教授,planninggx@126.com;2.重庆师范大学地理与旅游学院,硕士研 究生;3.重庆师范大学地理与旅游学院,讲师
摘要:
城市群是我国区域发展的重要主体,其 内部表现为各节点相互联系的复杂网络,分析其 在急性冲击与慢性压力下的韧性表现对区域安 全可持续发展有重要意义。本文以2020年成渝 城市群16个地级市为研究对象,构建交通、经 济、信息和综合联系网络,从层级性、匹配性、 传输性、集聚性四方面评估其网络结构韧性,模 拟分析中断环境下网络结构的吸收能力和容错 能力。结果表明:成渝城市群网络空间格局“双 核”为引领,层级差异鲜明。拓扑结构绝对极化 与相对均衡化并存。网络层级性非均质化与立 体化特征显著;异配性强且同质抱团现象不显 著;传输效率偏高,可达性与扩散性较强;头部 城市强集聚与非核心城市单向联系。在中断环境下,吸收能力与容错能力表现为信息网络>经济网络>综合网络>交通网络。
关键词:  成渝城市群  城市网络  网络结构韧性  韧性评估
DOI:10.13791/j.cnki.hsfwest.20240321
分类号:
基金项目:国家自然科学基金(41601149);国家社会科学基 金(19XGL027);重庆市自然科学基金(cstc2019 jcyj-msxmX0290);重庆市教育委员会科学技术研 究项目(KJQN202000515)
Evaluation of network spatial pattern and structural resilience of Chengdu-Chongqingurban agglomeration
GAO Xin,DING Chenhao,WU Haoyan,YU Xinxin
Abstract:
Urban clusters are vital for regional development in China, internally characterized by a complex network of interconnected nodes. Analyzing their resilience to acute shocks and chronic pressures is crucial for the sustainable development and security of the region. This paper investigates the 16 prefecture-level cities within the Chengdu-Chongqing urban cluster as of 2020. It constructs networks of transportation, economy, information, and comprehensive connections. The network’s resilience is assessed from four perspectives: hierarchy, matching, transmission, and agglomeration. Simulation analysis is used to examine the network structure’s absorption and fault tolerance capabilities in a disrupted environment. Results show that the Chengdu-Chongqing urban cluster’s network spatial pattern is dominated by a “dual-core”, with pronounced hierarchical differences. The “dual-core” and “networked” patterns are significant in the transportation connectivity network. The economic and information connectivity networks display “bow-shaped” and “spider-web-like” patterns respectively. The comprehensive connectivity network’s “networked” feature is the most pronounced. The topological structure exhibits both absolute polarization and relative equalization. Within the economic network’s topology, the core area is “dual-driven”, with a significant agglomeration effect in the southern cities. In the topology of the information network, node connections are diversified and tend to favor core cities. In the comprehensive network’s topology, the “dual-core” main structure persists throughout, with secondary central cities having the potential but not the power to balance. The formation of topological structures results from the combined effects of multiple factors, including geographical conditions, resource distribution, economic development levels, and policy guidance. Developmental differences and collaborative actions within urban clusters cause the network structures of various fields to exhibit characteristics of both absolute polarization and relative equalization. The network’s hierarchy is significantly nonhomogeneous and three-dimensional. There is strong heterophily and no significant homophily clustering. The transmission efficiency is relatively high, with strong accessibility and diffusivity. Top cities show strong agglomeration, while non-core cities have unidirectional connections. The structural resilience of transportation, economy, information, and comprehensive connectivity networks is characterized by transportation network (strong hierarchy, high heterophily, weak transmission, medium agglomeration), economic network (medium hierarchy, weak heterophily, strong transmission, strong agglomeration), information network (weak hierarchy, medium heterophily, strong transmission, weak agglomeration), comprehensive connectivity network (strong hierarchy, medium heterophily, medium transmission, medium agglomeration). The Chengdu- Chongqing dual-core structure is prominent, which brings a strong radiative driving effect while also generating the risk of spatial closure. Faced with external risks and shocks, there is a certain degree of structural resilience, but there is still much room for improvement. The heterogeneity of network structure resilience stems from the unbalanced development in different fields within the Chengdu- Chongqing urban cluster, as well as the corresponding differences in diverse network structures. Thestructural characteristics of different networks reflect the diversity and complementarity within the urban cluster. In a disrupted environment, the order of absorption and fault tolerance capabilities is information network > economic network > comprehensive network > transportation network. Among them, the information network has the strongest structural resilience, the transportation network the weakest, with Chongqing and Chengdu being key nodes affecting absorption and fault tolerance capabilities. The decentralized and distributed characteristics of the information network enhance its resilience, facilitating better adaptation and recovery in disruption scenarios. The transportation network, involving infrastructure, is often susceptible to natural disasters and accidents, making it difficult for the network to quickly adapt and repair in the event of disruptions. The Chengdu-Chongqing urban cluster’s dependency on Chengdu and Chongqing is too high, with a significant disparity in external connectivity between central and peripheral cities. The “core-periphery” effect is pronounced, making “peripheral cities” such as Ya’an, Guang’an, and Dazhou more vulnerable.
Key words:  Chengdu-Chongqing urban agglomeration  city networks  network structural resilience  resilience assessment