Spatial variation of the urban taxi ridership using GPS data

By Xinwu Qian, Satish V. Ukkusuri. 2015

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Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach (2017, methodology): “Some socio-demographical and built-environment variables have also been in use for predicting taxi passenger demand (Qian and Ukkusuri, 2015).”
Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach (2018, result): “As shown in Figures 2–9, the effect of explanatory variables on metro-bikeshare transfer volume could be spatially investigated as in previous research [43–45].”