长江流域资源与环境 >> 2021, Vol. 30 >> Issue (9): 2070-2078.doi: 10.11870/cjlyzyyhj202109003

• 区域可持续发展 • 上一篇    下一篇

长三角赛博空间信息流动的方向性与层级性

戴  靓1,纪宇凡1,邵  蕊2* ,蔡翡翡1,何秀婷1   

  1. (1. 南京财经大学公共管理学院,江苏 南京 210023;2. 根特大学地理系,比利时 根特 9000)
  • 出版日期:2021-09-20 发布日期:2021-09-27

Direction and Hierarchy of Intercity Information Flows in Cyberspace of Yangtze River Delta Region

DAI Liang 1, JI Yu-fan 1, SHAO Rui 2, CAI Fei-fei 1, HE Xiu-ting 1   

  1. (1.School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210023, China; 2.Department of Geography, Ghent University, Ghent 9000, Belgium)
  • Online:2021-09-20 Published:2021-09-27

摘要: 作为实体空间的补充,赛博空间的研究为解读区域空间组织方式提供新的视角。基于百度指数信息流数据,通过分析城市出入度、城际出入流和节点区域的特征,揭示了2018年长三角赛博空间信息流动的方向性与层级性。结果显示:(1)从出入度来看,上海、杭州、苏州、南京兼具信息资源的辐射能力和集聚能力;合肥在长三角赛博空间的主导性较强但信息虹吸能力弱;出入度均低的城市主要位于安徽省内。(2)从出入流来看,杭州的强信息辐射效应主要在省内;南京的信息辐射集中在沪宁杭沿线;苏州的辐射效应集中在沿海城市;上海对江浙城市有较强的信息辐射;而安徽城市则通过南京融入长三角信息流,整体参与度较低。(3)从节点区域来看,长三角赛博空间形成了以上海为绝对中心、南京为次级中心、合肥为三级中心的跨区域等级性节点区域和以杭州为中心、宁波为次级中心的浙江本地节点区域。在此基础上,研究进一步分析其影响因素并提出相应的政策建议。

Abstract: As a supplement to physical space, the study of cyberspace provides a new interpretation and consideration for spatial pattern and organizational structure of a city region. Based on the information flow data of Baidu Index, this paper explored the directional and hierarchical characteristics of intercity information flows in the cyberspace of the Yangtze River Delta(YRD) region in 2018 through city’s indegree and outdegree, intercity inflows and outflows, and nodal region analysis. The results are as follows:(1) In terms of city’s indegree and outdegree, Shanghai, Hangzhou, Suzhou and Nanjing are of high influence and attraction. Hefei has strong influence in but weak attraction to other cities. Cities with both low indegree and outdegree are mainly located in Anhui province.(2) In terms of intercity inflows and outflows, Hangzhou’s strong influence is mainly in the cities of the same province, and Nanjing’s is in cities along Shanghai-Nanjing-Hangzhou corridor while Suzhou‘s is mainly in coastal cities. Shanghai has strong outflows to cities in Jiangsu and Zhejiang provinces whereas cities in Anhui province integrate into the YRD information network through the hub of Nanjing, thus presenting an overall low participation.(3) In terms of nodal region analysis, the cyberspace of YRD forms a cross-regional hierarchical nodal region with Shanghai as the dominant center, Nanjing as the secondary center and Hefei as the tertiary center, and a local nodal region of Zhejiang province with Hangzhou as the center and Ningbo as the secondary center. On this basis, this paper also made a preliminary analysis of the driving factors and puts forward some policy suggestions.

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