Research Article

Does Urban Rail Transit Discourage People from Owning and Using Cars? Evidence from Beijing, China

Table 3

Standardized direct, indirect, and total effects on car ownership, travel distance, and car use.

VariableCar ownershipTravel DistanceCar use
DirectTotalDirectIndirectTotalDirectIndirect

URT proximity
RW proximity to URT-0.0820.0640.069-0.005-0.103-0.036-0.068
R proximity to URT-0.0460.1050.108-0.003-0.0050.027-0.032
W proximity to URT-0.0560.0780.081-0.003-0.045-0.002-0.043

Residential built environment
Floor area ratio0.037-0.007-0.0090.0020.008-0.0250.033
Land use diversity0.026-0.046-0.0470.001-0.003-0.0220.019
Bus stop density0.019-0.057-0.0580.0010.005-0.0060.011
Density of crossings-0.0850.00020.005-0.0048-0.0610.016-0.077
Distance to business district0.0510.1170.1140.0030.011-0.0460.057

Workplace built environment
Floor area ratio---0.032-0.032---0.093-0.090-0.003
Land use diversity---0.020-0.020---0.038-0.036-0.002
Bus stop density--0.0420.042--0.0080.0040.004
Density of crossings---0.019-0.019---0.008-0.006-0.002
Within 4th ring road---0.221-0.221--0.0220.043-0.021

Commuting characteristics
Travel distance--------0.0940.094--
Joint household travel--0.0280.028--0.4660.4630.003
Number of stops--0.0490.049--0.0370.0320.005

Household characteristics
Annual Income0.1470.008--0.0080.133--0.133
Housing area0.0710.030.0260.0040.013-0.0540.067
Children0.0860.005--0.0050.029-0.0490.078
Licensed Drivers0.5200.029--0.0290.101-0.3710.472
Bikes-0.054-0.089-0.086-0.003-0.133-0.076-0.057
Car ownership--0.0560.056--0.9070.9020.005

Personal characteristics
Gender--------0.1350.135--
Age---0.040-0.040--0.0540.058-0.004
Education level--0.0490.049--0.005--0.005
Driving license--------0.2350.235--

Note. significant at 10% level, significant at 5% level, and significant at 1% level. “--" indicates the links that are not included in the model.