Journal of Geo-information Science, Volume. 22, Issue 6, 1240(2020)
Fig. 1. Spatial pattern of intercity travel network of Chinese urban agglomerations during the National Day week.。。。
Fig. 2. Daily total passenger volume of 362 cities during the National Day week
Fig. 3. Relative difference between influx and outflux in different periods during the National Day week
Fig. 4. Distance distribution of influx and outflux by intercity city travel of urban Agglomerations in China
Fig. 5. City communities of intercity travel network during the National Day week in China
Fig. 6. Intercity travel network of typical urban agglomerations for the leave period and return period
Fig. 7. Statistics on the degree of polycentricity and primacy of intercity travel network in the urban agglomerations of China
Fig. 8. Comparison of intercity travel distance between workdays and the National Day week
Fig. 9. The dominant flow network of inner and outer intercity travel in China's urban agglomerations
Fig. 10. Spatial distribution of intercity travel networks of urban agglomerations in China
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Tao LI, Jiaoe WANG, Jie HUANG.
Received: Nov. 13, 2019
Accepted: --
Published Online: Nov. 12, 2020
The Author Email: WANG Jiaoe (wangje@igsnrr.ac.cn)