Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data
Table 5
Comparison of findings with existing studies.
Study
City
Ridership
Model
Significant factors
This study
Qingdao, China
Taxi
GWR
Residential density (+), housing price (+), road density (+), parking lot density (+), bus station density (+), residential area (), commercial area (+), public service area (), other land use (), land use mix ()
Tu et al. (2018)
Shenzhen, China
Taxi
GWR
Employment (), income (), land use mix (), road density (+), bus accessibility (), metro accessibility (+)
Yang et al. (2018)
Washington, DC, USA
Taxi
OLS regression model
Block (+), metro (+), bus (−), airport (+), pop (+), ResiDens (), RetaiDens (+), OffDens (), IndDens (+), OthDens (+), EmpEntropy ()
Qian and Ukkusuri (2015)
New York, USA
Taxi
GWR
Commuting time (−), highly educated population (+), median income (), road density (+), subway accessibility (+), commercial area ()
+positive effect, − negative effect, negative and positive effects.