中国城市信息网络的主干结构与影响机制
THE INFLUENCING MECHANISM AND BACKBONE STRUCTURE OF CHINA'S INTERCITY INFORMATION NETWORK
戴靓 1王瑞霖 2曹湛 3丁子军 2郑慧彬2
作者信息
- 1. 南京财经大学公共管理学院,南京 210023;浙江省城市治理研究中心,杭州 311121;剑桥大学建筑系,剑桥CB21PX
- 2. 南京财经大学公共管理学院,南京 210023
- 3. 同济大学建筑与城市规划学院,上海 200092;自然资源部国土空间智能规划技术重点实验室,上海 200092
- 折叠
摘要
本文通过2019年336个城市间的百度搜索指数构建中国城市信息网络,采用差别化过滤法和指数随机图模型,探讨其主干结构特征与内外生影响机制.研究发现:中国城市信息网络具有高密度、多尺度和异构性,基于差别化过滤法提取的主干网络清晰展现了信息流的地域差异和全局特征.国家级城市群之间形成距离衰减弱、空间跨度大、多元扁平化的信息流通道,并对东北和西南城市形成一定的邻近辐射;成都、重庆、西安形成三角聚合效应;新疆、西藏的信息流较为地域化和边缘化.行政等级、信息化水平、旅游热度能促进城际信息流动,省界效应突出.网络内生的择优连接和关系闭合机制也至关重要,但择优连接强于关系闭合,促使网络向层级性的组团化发展.
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 char-acteristics.After that,exponential random graph models were used to further explore the underlying endog-enous and exogenous influencing mechanisms.The results show that:1)China's intercity information net-work 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.
关键词
城市信息网络/百度搜索指数/差别化过滤法/指数随机图模型/中国Key words
intercity information network/Baidu searching index/disparity filter algorithm/exponential ran-dom graph model/China引用本文复制引用
基金项目
国家自然科学基金项目(42271212)
国家自然科学基金项目(52008298)
江苏省研究生科研创新计划项目(KYCX23_1832)
江苏政府留学奖学金资助项目(JS-2023-018)
出版年
2024
NETL
NSTL
万方数据