Research Article

Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing

Table 4

Estimated effects of ICT use on transit trips.

VariableAny transit tripsTransit trips
CoefficientS.E.CoefficientS.E.

Internet use characteristics
 Time spent online0.0040.005−0.0380.040
 Frequency of e-shopping0.0160.0140.0840.100
 Frequency of ordering food online0.0820.0110.0340.088

Built environment attributes
(Reference: ecological zone)
 Core zone−0.2620.065−1.1180.413
 Extended zone0.0770.047−1.3870.282
 Development zone0.0010.049−1.0870.279
 Distance to the nearest bus stop−0.0120.015−0.0660.113
 Distance to the nearest metro station−0.0910.0120.0260.092
 Distance to the nearest sport facilities0.1550.011−0.0310.083
 Distance to the nearest garden0.0400.0110.0530.081
 Distance to the nearest restaurant−0.0240.014−0.0080.109
 Distance to the nearest mall−0.0250.012−0.1310.087

Attitudes
 Driving−0.0940.0150.0550.114
 Public transit0.3400.0180.6630.117
 Walking−0.1460.0180.1680.129

Individual/household characteristics
 Gender0.1550.029−0.0020.208
 Age−0.0070.0010.0200.011
 Income0.0690.0080.0130.064
 Education level−0.0760.038−0.3930.250
 Household size−0.0280.0110.0750.078
 Pseudo-R20.480.20

Note: Significance level of 10%. Significance level of 5%. Significance level of 1%.