Journal of Geo-information Science, Volume. 22, Issue 6, 1240(2020)

Research on Travel Pattern and Network Characteristics of Inter-city Travel in China's Urban Agglomeration during the National Day Week based on Tencent Migration Data

Tao LI1...1,2,2, Jiaoe WANG2,2,3,3,*, and Jie HUANG22 |Show fewer author(s)
Author Affiliations
  • 1. 陕西师范大学西北国土资源研究中心,西安 710119
  • 1Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China
  • 2. 中国科学院地理科学与资源研究所 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
  • 2Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 3. 中国科学院大学资源与环境学院,北京 100049
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(12)
    Spatial pattern of intercity travel network of Chinese urban agglomerations during the National Day week.。。。
    Daily total passenger volume of 362 cities during the National Day week
    Relative difference between influx and outflux in different periods during the National Day week
    Distance distribution of influx and outflux by intercity city travel of urban Agglomerations in China
    City communities of intercity travel network during the National Day week in China
    Intercity travel network of typical urban agglomerations for the leave period and return period
    Statistics on the degree of polycentricity and primacy of intercity travel network in the urban agglomerations of China
    Comparison of intercity travel distance between workdays and the National Day week
    The dominant flow network of inner and outer intercity travel in China's urban agglomerations
    Spatial distribution of intercity travel networks of urban agglomerations in China
    • Table 1. Statistics of gravity model fitting results

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      Table 1. Statistics of gravity model fitting results

      函数函数公式调整判定系数R2
      对内联系幂函数Iij=0.1879×OoutiDinj/dij0.7060.510*
      修正幂函数Iij=0.2337×Oouti0.689Dinj0.563/dij0.7330763**
      指数函数Iij=0.1110×OoutiDinj/e0.456dij0.423
      修正指数函数Iij=0.1586×Oouti0.563Dinj0.456/e0.533dij0.485
      对外联系幂函数Iij=0.2333×OoutiDinj/dij0.8250.633*
      修正幂函数Iij=0.3065×Oouti0.429Dinj0.333/dij0.8960.802**
      指数函数Iij=0.2001×OoutiDinj/e0.700dij0.496*
      修正指数函数Iij=0.2045×Oouti0.436Dinj0.433/e0.706dij0.502
    • Table 2. [in Chinese]

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      Table 2. [in Chinese]

      强联系及占比次强联系及占比弱联系及占比对称联系及占比平均首位联系强度
      (≥0.6)(<0.6, ≥0.3)(<0.3)(互为首位联系)
      对内联系47(21.17)102(46.15)42(18.92)30(13.51)0.46
      对外联系25(11.42)139(63.47)52(22.42)6(2.74)0.42
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    Tao LI, Jiaoe WANG, Jie HUANG. Research on Travel Pattern and Network Characteristics of Inter-city Travel in China's Urban Agglomeration during the National Day Week based on Tencent Migration Data[J]. Journal of Geo-information Science, 2020, 22(6): 1240

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    Paper Information

    Received: Nov. 13, 2019

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: WANG Jiaoe (wangje@igsnrr.ac.cn)

    DOI:10.12082/dqxxkx.2020.190686

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