References

• 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
• 1998Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis1,154 cited
• 2011Urban computing with taxicabs529 cited
• 2007The Four-Step Model436 cited
• 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai423 cited
• 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
• 2015Spatial variation of the urban taxi ridership using GPS data256 cited
• 1996Cars and Drivers in the New Suburbs: Linking Access to Travel in Neotraditional Planning159 cited
• 2010Trip destination prediction based on past GPS log using a Hidden Markov Model127 cited
• 2019Exploring urban taxi ridership and local associated factors using GPS data and geographically weighted regression76 cited
• 2019A panel analysis of the effect of the urban environment on the spatiotemporal pattern of taxi demand59 cited
• 2019Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted Regression55 cited
• 2015Characterizing Urban Dynamics Using Large Scale Taxicab Data48 cited
• 2020Space-time dynamics of cab drivers' stay behaviors and their relationships with built environment characteristics