Research Article

Effects of Coverage Area Treatment, Spatial Analysis Unit, and Regression Model on the Results of Station-Level Demand Modeling of Urban Rail Transit

Table 4

Ordinary least squares regression model outputs.

 Equal divisionNaive methodThiessen polygons
CBGCTCBGCTCBGCT

New YorkAdjusted 0.5490.5170.4220.4320.4620.542
San Francisco0.6170.5910.7330.7450.7190.706
Chicago0.4450.4280.4310.4430.3690.382
Philadelphia0.8910.9190.8870.9120.8860.921
Boston0.6340.570.4240.4090.5430.513

New YorkMAPE72.73979.51689.69592.06998.57281.518
San Francisco50.64244.16442.77542.22649.09447.054
Chicago59.1957.23162.26160.25864.8563.097
Philadelphia177.094155.92185.698164.094188.526161.804
Boston148.806157.567233.008265.39158.748159.404

New YorkAIC13896.03013923.02014000.46013993.31013972.55013903.600
San Francisco885.742886.852868.122866.078872.189874.187
Chicago4201.2774204.4144203.6724200.7714216.3514212.398
Philadelphia4062.9484019.1404068.4854032.5504070.1004015.053
Boston2491.4482511.7622551.1172554.5652521.5082528.015