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哈大城市带网络结构韧性演化研究
引用本文:谢永顺,王成金,韩增林,刘书舟.哈大城市带网络结构韧性演化研究[J].地理科学进展,2020,39(10):1619-1631.
作者姓名:谢永顺  王成金  韩增林  刘书舟
作者单位:1.中国科学院地理科学与资源研究所,北京 100101
2.中国科学院大学资源与环境学院,北京 100049
3.辽宁师范大学海洋经济与可持续发展研究中心,辽宁 大连 116029
4.辽宁师范大学地理科学学院,辽宁 大连 116029
基金项目:国家自然科学基金面上项目(42071151);中国科学院战略性先导项目(XDA20010101)
摘    要:网络结构韧性是城市空间组织未来发展的重要指向,是社会经济稳定性与恢复力的结构保障。论文借鉴复杂网络指标,构建城市网络结构韧性演化评价模型,以哈大城市带为例,对比分析多重城市网络结构韧性的演化特征。结果表明:① 多重城市网络层级性与匹配性存在分异,在层级性上,交通和金融网络趋于扁平,信息和创新网络趋于立体;在匹配性上,交通和创新网络分别表现为同配性与异配性且特征强化,金融和信息网络为异配性但特征削弱。② 网络结构韧性类型相对稳定,交通运输网络为“同配—核心边缘网络”,金融、信息与创新网络为“韧性网络”;韧性演化综合水平表现为创新合作网络>信息关联网络>0>金融联系网络>交通运输网络。③ 可以从整体结构、片区差异和要素流动三方面优化网络结构韧性演化水平。

关 键 词:多重城市网络  结构韧性  韧性演化评估  哈大城市带  
收稿时间:2019-10-10
修稿时间:2020-03-25

Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt
XIE Yongshun,WANG Chengjin,HAN Zenglin,LIU Shuzhou.Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt[J].Progress in Geography,2020,39(10):1619-1631.
Authors:XIE Yongshun  WANG Chengjin  HAN Zenglin  LIU Shuzhou
Institution:1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China
3. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
4. School of Geography, Liaoning Normal University, Dalian 116029, Liaoning, China
Abstract:Network structural resilience is an important direction for the future development of urban spatial organization, which is of great significance for the high-quality coordinated development of urban agglomerations. On the basis of systematic review and summary of existing theoretical and empirical research on complex networks, we built a model to evaluate the evolution characteristics of urban network structural resilience. Taking the Harbin-Dalian urban belt as the research object, we explored the evolution direction and quality of multiple urban network structural resilience. The results show that: 1) There are differences in the hierarchy and matching of multiple urban networks. In terms of hierarchy, transportation and financial networks tend to be flat, while information and innovation networks tend to be three dimensional; In terms of matching, transportation network and innovation network are characterized by homogeneity and heterogeneity respectively, and their characteristics are strengthened, while financial network and information network are characterized by heterogeneity but their characteristics are weakened. 2) Network structural resilience type remains stable. Transportation network can be characterized as core-periphery network of homogeneity, while finance, information, and innovation networks can be categorized as resilient network. The structural resilience of transportation and financial networks has declined, while that of information and innovation networks has increased. The comprehensive level of resilience evolution is as follows: innovation cooperation network > information association network > 0 > financial connection network > transportation network. 3) The restrictive factors of the resilience evolution of urban network structure in the Harbin-Dalian urban belt can be traced back to three aspects: core cities, peripheral cities, and factor flow. In view of these, we put forward the optimization path of the resilience evolution of urban network structure in the Harbin-Dalian urban belt from three aspects: overall structure, regional difference, and factor flow.
Keywords:multiple urban networks  structural resilience  resilience evolution assessment  Harbin-Dalian urban belt  
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