地理学报 ›› 2022, Vol. 77 ›› Issue (10): 2494-2513.doi: 10.11821/dlxb202210006

• 城市地理与区域发展 • 上一篇    下一篇

中国居民城际出行网络的空间结构特征

潘竟虎(), 魏石梅, 张蓉, 杨亮洁   

  1. 西北师范大学地理与环境科学学院,兰州 730070
  • 收稿日期:2021-08-18 修回日期:2022-05-21 出版日期:2022-10-25 发布日期:2022-12-25
  • 作者简介:潘竟虎(1974-), 男, 甘肃嘉峪关人, 教授, 博士生导师, 中国地理学会会员(S110011899M), 研究方向为空间分析与感知。E-mail: panjh_nwnu@nwnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42071216);国家自然科学基金项目(41661025)

Spatial structure characteristics of intercity travel network of Chinese residents: Based on Tencent migration data

PAN Jinghu(), WEI Shimei, ZHANG Rong, YANG Liangjie   

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
  • Received:2021-08-18 Revised:2022-05-21 Published:2022-10-25 Online:2022-12-25
  • Supported by:
    National Natural Science Foundation of China(42071216);National Natural Science Foundation of China(41661025)

摘要:

利用腾讯迁徙数据构建居民城际出行网络,分析了不同时段、不同交通方式下中国居民城际出行网络的空间结构特征以及主要城市群的对内、对外居民城际出行模式。研究发现,2018年中国居民城际出行网络呈“东密西疏”空间分布格局,形成以京、沪、穗—深、蓉—渝等高中心性城市为顶点的顶层跨区级“钻石型”网络结构。“春运”时段城际出行的重心相较日常出行更偏向于西南,居民城际日均出行规模亦高于其他时段,特殊节假日城际出行具有显著的空间邻近效应。不同出行方式下的出行人口、出行范围和出行交通网络差异显著,航空、铁路、公路出行分别承担国家级、区域级和地方级城际出行的人口集散。主要城市群对内出行网络呈现“核心—邻近—边缘”空间格局,以多中心双核出行模式为主,对外出行网络则呈现“跨区—邻域—地方”的格局,以单中心单核出行模式为主。

关键词: 城际出行, 网络结构, 出行模式, 腾讯迁徙, 中国

Abstract:

Based on the Tencent migration data in 2018, the Chinese residents' intercity travel networks were constructed respectively from different time periods (annual, daily, special holidays, and the Spring Festival travel period), different travel modes (aviation, railway, and highway) and different urban agglomerations (inside and outside). Using the social network analysis method, the spatial structure characteristics of residents' intercity travel networks were explored and depicted from the perspective of "point-line-network", and the internal and external travel patterns of major urban agglomerations were summarized to reveal residents' intercity travel laws systematically and comprehensively. The results showed that: the residents' intercity travel network in 2018 presents a spatial pattern of "dense in the east and sparse in the west", forming a top-level cross-regional "diamond" network structure with high central cities such as Beijing, Shanghai, Guangzhou-Shenzhen and Chengdu-Chongqing as the vertexes. Residents' intercity travel in the Spring Festival travel period is quite different from that in other holidays. The weighted gravity center of the residents' intercity travel is more inclined to the southwest during the Spring Festival travel period. The daily average travel scale of the Spring Festival is higher than that of other periods. There are significant differences in residents' intercity travel population scale, travel range and travel transportation network under different travel modes. The aviation intercity travel, railway intercity travel and highway intercity travel are responsible for the population gathering and dispersion of intercity travel at national level, regional level and local level, respectively. The internal and external residents' intercity travel networks of urban agglomerations respectively show a spatial pattern of "core-hinterland-periphery" and "region crossing-neighboring-locality", with obvious significant hierarchy. Affected by administrative barriers, intercity travel within an urban agglomeration is more to the capital city as the origin or destination, showing a multi-center dual-core travel pattern, while the external intercity travel of the urban agglomeration is mostly single-center single-core travel pattern.

Key words: intercity travel, network structure, travel pattern, Tencent migration, China