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| THE INFLUENCING MECHANISM AND BACKBONE STRUCTURE OF CHINA'S INTERCITY INFORMATION NETWORK |
| DAI Liang1,2,3, WANG Rui-lin1, CAO Zhan4,5, DING Zi-jun1, ZHENG Hui-bin1 |
1. School of Public Administration, Nanjing University of Finance and Economics, Nanjing 210023, China;
2. Center for Zhejiang Urban Governance Studies, Hangzhou 311121, China;
3. Department of Architecture, University of Cambridge, Cambridge CB21PX, United Kingdom;
4. College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;
5. Key Laboratory of Spatial Intelligent Planning Technology, Ministry of Natural Resources of the People's Republic of China, Shanghai 200092, China |
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Abstract In the era of Internet, the high-speed flows of information contribute to the dynamic reconstruction of urban space. Against this backdrop, this paper constructed China's intercity information network based on the Baidu searching index of 336 cities at the prefecture level and above in 2019, and then applied disparity filter algorithm to extract the backbone of the complex information network and analyzed its structural characteristics. After that, exponential random graph models were used to further explore the underlying endogenous and exogenous influencing mechanisms. The results show that: 1) China's intercity information network is highly dense with full coverage, multiple scales, and obvious heterogeneity. The network backbone extracted by the disparity filter algorithm at the significance level of 0.1 clearly shows the regional disparity and global features of the intercity information flows. 2) The virtual intercity information flows still suggest an apparent gradient difference of regional development. 3) The city's administrative level, informatization level, and tourism popularity can enhance intercity information flows and the provincial boundary effect is prominent in China.
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Received: 30 June 2023
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2024, Vol. 39 
