首页|"信息流"视角下京津冀城市群网络格局演变特征及影响机制

"信息流"视角下京津冀城市群网络格局演变特征及影响机制

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信息流是信息时代测度区域城市网络格局的核心指标.为探索京津冀"城市-区域"网络格局演变规律,选用京津冀13个城市2011-2019年的百度指数数据,依托ArcGIS、Ucinet及地理探测器,计算信息流总量、网络密度、优势流、中心性、QAP相关系数,剖析长时序截面城市群网络格局演变特征及多因素交互作用对网络结构的影响机制.结果表明:(1)京津冀城市群整体网络趋于均衡,呈现以等级指向和中心指向为主的"弓"形分布特征,核心网络由强"轴-轴"结构向"多边形"稳固结构演进;(2)城市层级波动趋于缓和,"一核双城多支点"格局更加明晰,单核集聚现象依旧突出;(3)多要素耦合作用下人口规模不再构成影响城市网络的最重要因素,创新能力成为区域网络均衡化的稳定加速器.未来需加强区域资源共享与协调联动,资源配置向节点/边缘城市倾斜,并加大创新研发投入和政策支持力度,培育城市网络格局优化的新动能.
Evolution Characteristics and Influencing Mechanism of Beijing-Tianjin-Hebei Urban Agglomeration Network Pattern from the Perspective of"Information Flow"
Information flow is the core index to measure regional urban network pattern in the information age.In order to explore the evolution law of Beijing-Tianjin-Hebei city-regional network pattern,Baidu index data of 13 cities in Beijing-Tianjin-Hebei region from 2011 to 2019 were selected to calculate the total amount of information flow,network density,dominant flow,centrality and QAP correlation coefficient by relying on ArcGIS,Ucinet and geographic probe.This paper analyzes the evolution characteristics of urban agglomeration network pattern and the influence mechanism of multi-factor interaction on network structure.The results show that:(1)The overall network of the Beijing-Tianjin-Hebei urban agglomeration tends to be balanced,presenting a"bow"distribution characteristic with hierarchical orientation and center orientation.The core network of the Beijing-Tianjin-Hebei urban agglomeration evolves from a strong"axial-axis"structure to a stable"polygon"structure.(2)The fluctuation of the city level tends to ease,the pattern of"one core,two cities and multiple fulcrum"is clearer,and the agglomeration phenomenon of single core is still prominent.(3)Under the coupling effect of multiple factors,population size no longer constitutes the most important factor affecting urban network,and innovation ability becomes the stable accelerator of regional network equalization.In the future,regional resource sharing and coordination should be strengthened,resource allocation should be tilted towards node/edge cities,and investment in innovation research and development and policy support should be enhanced to foster new driving forces for the optimization of urban network pattern.

information flowBeijing-Tianjin-Hebeiurban networkBaidu indexinnovation driven

田健、宿荣、曾穗平

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天津大学建筑学院

天津大学建筑学院城乡规划系

北京清华同衡规划设计研究院有限公司

天津城建大学建筑学院

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信息流 京津冀 城市网络 百度指数 创新驱动

国家自然科学基金面上项目天津市哲学社会科学规划智库项目天津市科协重点决策咨询重大课题

52378065TJZDDY23-232023006

2024

现代城市研究
南京城市科学研究会

现代城市研究

CSTPCDCHSSCD北大核心
影响因子:0.922
ISSN:1009-6000
年,卷(期):2024.(2)
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