Journal of Geo-information Science, Volume. 22, Issue 1, 100(2020)
Fig. 3. Housing prices mapping of Shenzhen in 2017 with a 5 m resolution
Fig. 4. Framework of analyzing the behavioral patterns of people at different economic levels with mobile phone data and house price data
Fig. 5. Histogram of the ratio between the within-cell standard deviation and overall deviation of housing price at the level of cellphone tower service areas in Shenzhen
Fig. 6. Dividing the population of different economic levels based on housing prices in Shenzhen
Fig. 7. Spatial distribution of activity points of people at different economic levels in Shenzhen
Fig. 8. Boxplots of activity indicators for different economic levels in Shenzhen
Fig. 9. Density distribution of the moment of inertia of all Shenzhen phone users
Fig. 10. Spatial distribution of the moment of inertia of all Shenzhen phone users
Fig. 11. Moment of inertia of peoples in Shenzhen per economic levels
Fig. 12. Boxplots of travel indicators for people with different economic levels in Shenzhen
Fig. 13. Spatial Distribution of commuter velocity of people at different economic levels in Shenzhen
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Qingfeng GUAN, Shuliang REN, Yao YAO, Xun LIANG, Jianfeng ZHOU, Zehao YUAN, Liangyang DAI.
Received: Jul. 29, 2019
Accepted: --
Published Online: Sep. 16, 2020
The Author Email: YAO Yao (yaoy@cug.edu.cn)