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基于百度指数的武汉都市圈城市网络特征研究

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以武汉都市圈为研究对象,按时间序列收集整理了 2015年、2017年、2019年、2021年武汉都市圈各城市间的百度指数,构建城市网络模型,运用C-Value和D-Value的层级分析、优势流分析、多云线性回归等定量分析法,剖析武汉都市圈城市网络格局演变特征及影响因素.结果表明,武汉都市圈城市间的网络联系水平差异较大,信息流的空间分布呈现出东高西低、东密西疏的非均衡特征,武汉在都市圈中的影响力和控制力极化效应明显;武汉都市圈呈现较明显的"核心-半边缘-边缘"的网络层级结构,网络联系呈现圈层渐弱且有着空间邻近效应特征;城市信息基础设施、综合经济发展水平、城市人口对武汉都市圈城市信息网络联系强度呈显著的正向作用.最后基于此研究提出了相关优化建议.
Research on the Urban Network Characteristics of Wuhan Metropolitan Area Based on Baidu Index
Taking Wuhan metropolitan area as the research object,the Baidu index was collected and organized among cities in Wuhan metropolitan area in 2015,2017,2019 and 2021 according to the time series,the urban network model was constructed,and C-Value and D-Value hierarchical analysis,dominant flow analysis,multi-cloud linear regression and other quantitative analysis methods were adopted.The evolution characteristics and influencing factors of urban network pattern in Wuhan metropolitan area were analyzed.The results show that there is a great difference in the level of network connection among cities in Wuhan metropolitan area,and the spatial distribution of information flow presents a disequilibrium feature of high in the east and low in the west,and thin in the east and west.The network hierarchy structure of"core-half edge-edge"is obvious in Wuhan metropolitan area,and the network connection is weak and has the characteristics of spatial proximity effect.Urban information infrastructure,comprehensive economic development level and urban population have significant positive effects on the intensity of urban information network connection in Wuhan metropolitan area.Finally,based on this research,some optimization suggestions are put forward.

Baidu indexurban networkWuhan metropolitan areainformation flow

彭海涛、连华、宁雷

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兰州交通大学建筑与城市规划学院,兰州 730070

西昌学院旅游与城乡规划学院,四川西昌 615000

百度指数 城市网络 武汉都市圈 信息流

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(16)