摘要
随着信息技术的发展,基于大数据支撑的城际信息流、产业流等为基于“流空间”的城市网络研究提供了新的研究视角。为了进一步研究城际信息流的经济意义,通过编写Python爬虫程序对基于百度搜索的我国271个城市之间信息流进行统计和数据结构化。结果表明:城市信息流总量是一个城市发展程度的综合反映,同时通过对结构洞理论的延伸,证明了在城际网络中,中心节点具有较高的冗余度。通过回归分析算法证明了城市信息流总量受到城市人均GDP、货运量、互联网接入用户数、城市的区位及其行政等级的显著影响。
With the development of information technology,inter-city information flow based on big data support,industrial flow,etc.provides a new research perspective for urban network research based on“flow space”.In order to further study the economic significance of inter-city information flow,this research wrote a python crawler program based on Baidu search and did the statistical analysis based on information flow between 271 cities.The analysis finds that the total amount of city information flow is a comprehensive reflection of the degree of urban development.At the same time,through the extension of the structural hole theory,it is proved that the central node has higher redundancy in the inter-city network.Finally,the regression analysis algorithm proves that the total amount of urban information flow is significantly affected by urban per capita GDP,freight volume,number of internet access users,city location and administrative level.
作者
徐庭伟
罗守贵
XU Tingwei;LUO Shougui(Antai College of Economics&Management,Shanghai Jiao Tong University,Shanghai 200030,China;China Institute for Urban Governance,Shanghai Jiao Tong University,Shanghai 200030,China)
出处
《地域研究与开发》
CSSCI
CSCD
北大核心
2019年第6期46-51,共6页
Areal Research and Development
基金
国家社会科学基金重大项目(12&ZD026)
上海交大中国城市治理研究院项目(2017-A-067-004)
关键词
城际信息流
城市信息流总量
爬虫技术
结构洞
冗余度
inter-city information flow
city information flow
crawler technology
structure hole theory
redundancy
作者简介
徐庭伟(1994-),男,浙江浦江县人,硕士研究生,主要从事城市与区域经济发展方面的研究,(E-mail)xutw.carlos@qq.com。
