Journal of Geographical Sciences ›› 2020, Vol. 30 ›› Issue (12): 1943-1962.doi: 10.1007/s11442-020-1821-9
• Research Articles • Previous Articles Next Articles
LI Tao1,2(), WANG Jiaoe2,3,*(
), HUANG Jie2, GAO Xingchuan2
Received:
2020-09-02
Accepted:
2020-10-30
Online:
2020-12-25
Published:
2021-01-05
Contact:
WANG Jiaoe
E-mail:taoli-2008@163.com;wangje@igsnrr.ac.cn
About author:
Li Tao, PhD and Associate Professor, specialized in transport geography. E-mail: Supported by:
LI Tao, WANG Jiaoe, HUANG Jie, GAO Xingchuan. 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): 1943-1962.
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Table 2
Statistical characteristics of intercity travel network for weekdays and Golden Week"
Region | Period | Zipf | R2 | WDCi | DITi | ODIc |
---|---|---|---|---|---|---|
Whole country | Weekdays | 1.1378 | 0.8205 | 185 200 | 3.91 | 0.84 |
Golden Week | 1.0988 | 0.6418 | 386 605 | 5.09 | 0.88 | |
Eastern China | Weekdays | 1.2663 | 0.8494 | 305 006 | 6.48 | 0.80 |
Golden Week | 1.1219 | 0.7443 | 581 193 | 7.67 | 0.85 | |
Central China | Weekdays | 0.8950 | 0.8172 | 130 740 | 2.72 | 0.89 |
Golden Week | 0.8503 | 0.8125 | 322 530 | 4.21 | 0.91 | |
Western China | Weekdays | 1.1941 | 0.7860 | 126 287 | 2.65 | 0.79 |
Golden Week | 1.2662 | 0.7458 | 265 015 | 3.47 | 0.83 |
Table 3
Statistical characteristics of the DITi values and their absolute changes for the two periods"
Rank | DITi | Absolute change | ||||
---|---|---|---|---|---|---|
Weekdays | DITi | Golden Week | DITi | Golden Week-Weekdays | ||
1 | Beijing | 100.00 | Beijing | 100.00 | Wuhan | 10.17 |
2 | Shanghai | 78.19 | Shanghai | 75.13 | Chengdu | 10.06 |
3 | Shenzhen | 66.88 | Shenzhen | 61.44 | Xi’an | 8.57 |
4 | Guangzhou | 66.65 | Guangzhou | 61.02 | Changsha | 5.44 |
5 | Chongqing | 51.30 | Chengdu | 54.94 | Qingdao | 5.42 |
6 | Chengdu | 44.88 | Chongqing | 52.50 | Harbin | 5.31 |
7 | Dongguan | 27.72 | Hangzhou | 35.20 | Hefei | 5.27 |
8 | Hangzhou | 25.82 | Xi’an | 29.75 | Nanchang | 5.22 |
9 | Zhengzhou | 25.10 | Zhengzhou | 28.85 | Suzhou | 4.59 |
10 | Wuhan | 25.03 | Wuhan | 26.78 | Nanjing | 4.35 |
11 | Nanjing | 22.43 | Dongguan | 26.39 | Ganzhou | 4.11 |
12 | Xi’an | 21.18 | Suzhou | 25.36 | Huizhou | 4.07 |
13 | Suzhou | 20.77 | Changsha | 23.94 | Dalian | 3.98 |
14 | Changsha | 18.50 | Nanjing | 23.57 | Zhengzhou | 3.75 |
15 | Foshan | 15.91 | Tianjin | 18.52 | Hengyang | 3.68 |
16 | Nanning | 15.24 | Foshan | 17.87 | Shenyang | 3.64 |
17 | Tianjin | 15.20 | Kunming | 16.60 | Yantai | 3.53 |
18 | Jinan | 14.22 | Jinan | 16.59 | Yancheng | 3.44 |
19 | Kunming | 13.86 | Hefei | 16.44 | Qingyuan | 3.39 |
20 | Guiyang | 12.56 | Nanning | 16.30 | Tianjin | 3.32 |
Figure 9
Divisions and changes of community structure for weekdays and Golden Week Notes: (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."
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