• Journal of Geographical Sciences
  • Vol. 30, Issue 12, 1943 (2020)
Tao LI1、2, Jiaoe WANG2、3、*, Jie HUANG2, and Xingchuan GAO2
Author Affiliations
  • 1Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China
  • 2Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 3College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.1007/s11442-020-1821-9 Cite this Article
    Tao LI, Jiaoe WANG, Jie HUANG, Xingchuan GAO. Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China[J]. Journal of Geographical Sciences, 2020, 30(12): 1943 Copy Citation Text show less
    Differences in intercity travel networks between weekdays and Golden Week
    Fig. 1. Differences in intercity travel networks between weekdays and Golden Week
    Diagram of city roles based on the method of the intra-inter group importance parameter
    Fig. 2. Diagram of city roles based on the method of the intra-inter group importance parameter
    Rank-size distribution of WDCi of intercity travel network for weekdays and Golden Week
    Fig. 3. Rank-size distribution of WDCi of intercity travel network for weekdays and Golden Week
    Spatial distribution of DITi and its absolute changes for weekdays and Golden Week
    Fig. 4. Spatial distribution of DITi and its absolute changes for weekdays and Golden Week
    Division of city roles on weekdays and during Golden Week
    Fig. 5. Division of city roles on weekdays and during Golden Week
    Spatial distribution of the dominant flows of the intercity travel network on weekdays and during Golden Week
    Fig. 6. Spatial distribution of the dominant flows of the intercity travel network on weekdays and during Golden Week
    Comparison of spatial patterns of the intercity travel network for weekdays and Golden Week
    Fig. 7. Comparison of spatial patterns of the intercity travel network for weekdays and Golden Week
    City links with an advantageous connectivity index (RSL) in the intercity travel network for weekdays and Golden Week
    Fig. 8. City links with an advantageous connectivity index (RSL) in the intercity travel network for weekdays and Golden Week
    Divisions and changes of community structure for weekdays and Golden WeekNotes: (1) Different bars represent different communities and are arranged according to the PageRank value of the community city. The higher the PageRank value, the lower the position and the higher the importance and status of the community in the network. (2) The horizontal streamlines connecting different communities in the two periods indicate the changes of cities in each community between weekdays and Golden Week, and their width is directly proportional to the number of cities in each community. (3) To clearly show the changes in the communities between the two periods, the left panel highlights the changes between weekdays and Golden Week of the Beijing-Shanghai community and the Guangzhou-Shenzhen community, while the right panel highlights the changes in the other communities.
    Fig. 9. Divisions and changes of community structure for weekdays and Golden WeekNotes: (1) Different bars represent different communities and are arranged according to the PageRank value of the community city. The higher the PageRank value, the lower the position and the higher the importance and status of the community in the network. (2) The horizontal streamlines connecting different communities in the two periods indicate the changes of cities in each community between weekdays and Golden Week, and their width is directly proportional to the number of cities in each community. (3) To clearly show the changes in the communities between the two periods, the left panel highlights the changes between weekdays and Golden Week of the Beijing-Shanghai community and the Guangzhou-Shenzhen community, while the right panel highlights the changes in the other communities.
    Comparison of intercity travel distance between weekdays and Golden Week
    Fig. 10. Comparison of intercity travel distance between weekdays and Golden Week
    PeriodsNumber of nodesNumber of edgesTotal linked valueAverageMaximumMinimumCV
    Weekdays362843034 817 7494130191 59072.22
    Golden Week362858872 681 8438463263 72471.94
    Table 1.

    Descriptive statistics of intercity travel networks for weekdays and Golden Week

    RegionPeriodZipfR2WDCiDITiODIc
    Whole countryWeekdays1.13780.8205185 2003.910.84
    Golden Week1.09880.6418386 6055.090.88
    Eastern ChinaWeekdays1.26630.8494305 0066.480.80
    Golden Week1.12190.7443581 1937.670.85
    Central ChinaWeekdays0.89500.8172130 7402.720.89
    Golden Week0.85030.8125322 5304.210.91
    Western ChinaWeekdays1.19410.7860126 2872.650.79
    Golden Week1.26620.7458265 0153.470.83
    Table 2.

    Statistical characteristics of intercity travel network for weekdays and Golden Week

    RankDITiAbsolute change
    WeekdaysDITiGolden WeekDITiGolden Week-Weekdays
    1Beijing100.00Beijing100.00Wuhan10.17
    2Shanghai78.19Shanghai75.13Chengdu10.06
    3Shenzhen66.88Shenzhen61.44Xi’an8.57
    4Guangzhou66.65Guangzhou61.02Changsha5.44
    5Chongqing51.30Chengdu54.94Qingdao5.42
    6Chengdu44.88Chongqing52.50Harbin5.31
    7Dongguan27.72Hangzhou35.20Hefei5.27
    8Hangzhou25.82Xi’an29.75Nanchang5.22
    9Zhengzhou25.10Zhengzhou28.85Suzhou4.59
    10Wuhan25.03Wuhan26.78Nanjing4.35
    11Nanjing22.43Dongguan26.39Ganzhou4.11
    12Xi’an21.18Suzhou25.36Huizhou4.07
    13Suzhou20.77Changsha23.94Dalian3.98
    14Changsha18.50Nanjing23.57Zhengzhou3.75
    15Foshan15.91Tianjin18.52Hengyang3.68
    16Nanning15.24Foshan17.87Shenyang3.64
    17Tianjin15.20Kunming16.60Yantai3.53
    18Jinan14.22Jinan16.59Yancheng3.44
    19Kunming13.86Hefei16.44Qingyuan3.39
    20Guiyang12.56Nanning16.30Tianjin3.32
    Table 3.

    Statistical characteristics of the DITi values and their absolute changes for the two periods

    Tao LI, Jiaoe WANG, Jie HUANG, Xingchuan GAO. Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China[J]. Journal of Geographical Sciences, 2020, 30(12): 1943
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