摘要
基于百度指数,以黄河流经的9个省区为研究对象,获取2016年和2019年的百度用户关注度数据。通过计算模拟城市信息流,运用社会网络分析法分析黄河流域城市群城市网络时空演变特征并探究其影响因素,结果显示:(1)2016年到2019年,黄河流域城市群两两城市间信息流变化强度显著增强,信息流总量总体上呈现增长状态。(2)城市网络稳定性逐渐增强,城市体系日趋完善成熟。(3)城市的经济发展水平、政府的政策扶持以及城市的营销策略对城市网络特征有较大的影响。
Based on the Baidu Index,the nine provinces and regions that the Yellow River flows through were used as research objects to obtain Baidu users Sattention data in 2016 and 2019.By calculating and simulating urban information flow,using social network analysis to analyze the characteristics of the spatial and temporal evolution of the urban network of the Yellow River Basin urban agglomeration and exploring its influencing factors,the results showed:(1)From 2016 to 2019,the information flow between two cities in the Yellow River Basin urban agglomeration The intensity of change had increased significantly,and the total amount of information flow had generally shown an increase.(2)The stability of the city network was gradually increasing,and the city system was becoming more and more mature.(3)The city’s economic development level,government policy support and city marketing strategies had a greater impact on the characteristics of the city network.
作者
谭学玲
李银河
TAN Xue-ling;LI Yin-he(School of Geography and Ocean Sciences,Yanbian University,Yanbian 133002,Jilin,China;School of Urban&Regional Science,East China Normal University,Shanghai 200241,China)
出处
《云南地理环境研究》
2020年第6期35-41,共7页
Yunnan Geographic Environment Research
基金
延边大学课题“东北沿边地区人口跨境流”(602020037).
关键词
信息流
百度指数
城市网络
黄河流域
时空演变
information stream
baidu index
urban network
Yellow River basin
spatial-temporal evolution