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干旱区地理 ›› 2023, Vol. 46 ›› Issue (7): 1206-1216.doi: 10.12118/j.issn.1000-6060.2022.485

• 区域发展 • 上一篇    下一篇

多尺度视角下黄河流域城市信息网络空间结构演化研究

苏航1(),谷娇2,赵金丽1()   

  1. 1.山东师范大学地理与环境学院,山东 济南 250358
    2.太原师范学院地理科学学院,山西 晋中 030619
  • 收稿日期:2022-09-25 修回日期:2022-11-11 出版日期:2023-07-25 发布日期:2023-08-03
  • 通讯作者: 赵金丽(1989-),女,博士,讲师,主要从事城市地理和金融地理研究. E-mail: zhaojinli302@126.com
  • 作者简介:苏航(1999-),女,硕士研究生,主要从事经济地理与可持续发展研究. E-mail: suhang217@163.com
  • 基金资助:
    国家自然科学基金项目(42101163);山东省自然科学基金青年项目(ZR2020QD007)

Spatial structure evolution of urban information network in the Yellow River Basin from multi-scale perspective

SU Hang1(),GU Jiao2,ZHAO Jinli1()   

  1. 1. College of Geography and Environment, Shandong Normal University, Jinan 250358, Shandong, China
    2. Institute of Geography Science, Taiyuan Normal University, Jinzhong 030619, Shanxi, China
  • Received:2022-09-25 Revised:2022-11-11 Online:2023-07-25 Published:2023-08-03

摘要:

随着互联网技术的高速发展,城市间信息联系更加紧密,空间结构不断重构。本文以2012年与2019年黄河流域内部城市之间及与外部城市相互搜索的百度指数为数据源,采用社会网络分析及空间分析等方法,探讨了本地与全国2个尺度下黄河流域城市网络的时空演化格局。结果表明:(1)全国尺度下的城市点度中心性与本地尺度高度相关,但相较于本地尺度,中心性高值区愈发向东部集聚,空间非均衡性增加,西安市、青岛市核心地位更加突出。(2)全国尺度下的城市中介中心性与本地尺度不相关,且相较于本地尺度,中心性高值区由西向东转移,空间非均衡性降低,西安市中介效应优势更加突出。(3)黄河流域内部联系呈现以西安市-郑州市及青岛市-济南市为核心的相关孤立的骨干网络,域外高层级联系愈发向长三角、成渝等南方城市群集中。(4)相较于本地尺度,全国尺度下黄河流域首位联系空间组织变化不大,第二位联系大多从流域中心或省域次中心转向链接北京市,第三位联系则大多从邻近链接转向择优链接域外中心城市。研究结果可为协同推进黄河流域高质量发展提供决策参考。

关键词: 黄河流域, 信息流, 多尺度, 空间结构, 演化

Abstract:

The rapid development of Internet technology has strengthened the information connection between cities and resulted in the continuous restructuring of its spatial structure. According to the Baidu index data between cities in 2012 and 2019, social network and spatial analyses were performed at local and national scales to investigate the spatiotemporal evolution pattern of the urban network in the Yellow River Basin of China. The findings revealed the following: (1) Urban degree centrality at the national scale is highly correlated with that at the local scale. However, compared with the local scale, cities with high-value degree centrality are concentrated in the east, which increases spatial disequilibrium, and the positions of Xi’an City and Qingdao City in the network are prominent. (2) Urban betweenness centrality at the national scale is not related to that at the local scale. Cities with high-value betweenness centrality shift from west to east, and the spatial disequilibrium is low. Furthermore, the intermediary effect of Xi’an City is prominent. (3) The internal connection network presents two mutual isolated backbone networks centered on Xi’an-Zhengzhou Cities and Qingdao-Jinan Cities, and the high-level connections outside the basin are increasingly located in the Yangtze River Delta, Chengdu-Chongqing, and other southern urban agglomerations. (4) Compared with the local scale, the spatial organization of the first contact exhibits limited change at the national scale, and the second contact urban nodes have mostly converted from the basin center or provincial subcenter to Beijing City. The third contact urban nodes have mostly converted from the neighboring nodes to national centers outside the basin. This study can be a reference for the cooperative promotion of high-quality development in the Yellow River Basin.

Key words: the Yellow River Basin, information flow, multi-scale, spatial structure, evolution