Yajuan ZHOU, Zhiyuan ZHAO, Sheng WU, Zhixiang FANG, Zuoqi CHEN. Estimating the Potential Demand for Bicycle Travel based on Large-scale Mobile Phone Location Data [J]. Journal of Geo-information Science, 2020, 22(6): 1282
- Journal of Geo-information Science
- Vol. 22, Issue 6, 1282 (2020)
Fig. 1. The method for estimating potential bicycle travel demand based on mobile phone location data
Fig. 2. The principle of stop identification
Fig. 3. The interpolation of move trajectory segment with same start and end point by the furthest point
Fig. 4. Shanghai's administrative districts
Fig. 5. The density distribution of the base stations in the research dataset in 2012
Fig. 6. The probability distribution of the coverage radius of the base stations in the research dataset in 2012
Fig. 7. The mobile phone location data sampling time interval distribution
Fig. 8. The distribution of the Shanghai public transportation stations in Shanghai in 2017
Fig. 9. The spatial distribution for mobile phone user travel OD extracted in the research dataset in 2012
Fig. 10. Thespatial distribution for potential cycling and parking demand in Shanghai
Fig. 11. The spatial distribution for potential cycling and parking demand in Shanghai during some periods of time
Fig. 12. The temporal characteristics of potential bicycle travel demand in Shanghai in 2012
Fig. 13. Thetemporal characteristics of potential bicycle travel demand in some areas of Shanghai in 2012
Fig. 14. The temporal characteristics of public transportation transfer travel demand in Shanghai
Fig. 15. The spatial distribution of the top 10 public transportation stations with the highest transfer travel demand
Fig. 16. The temporal characteristics of public transportation transfer travel demand for partial public transportation stations
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Table 1. Mobile phone location data
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Table 2. The top 10 public transportation stations with the highest transfer travel demand
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