Research Article

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

Table 5

Estimated effects of ICT use on active trips.

VariableAny active tripsActive trips
Coef.S.E.Coef.S.E.

Internet use characteristics
 Time spent online0.0080.0040.0660.029
 Frequency of e-shopping−0.0840.012−0.1180.107
 Frequency of ordering food online−0.0550.0100.0670.094

Built environment attributes
(reference: ecological zone)
 Core zone0.1370.052−0.3230.444
 Extended zone0.1260.038−0.4380.308
 Development zone0.2110.037−0.2640.309
 Distance to the nearest bus stop0.0530.012−0.1510.118
 Distance to the nearest metro station0.0130.0110.0670.099
 Distance to the nearest sport facilities0.0690.009−0.0310.087
 Distance to the nearest garden−0.1060.009−0.0070.086
 Distance to the nearest restaurant0.0190.0120.1180.108
 Distance to the nearest mall−0.0090.0100.1440.100

Attitudes
 Driving−0.1600.013−0.3650.126
 Public transit0.0860.014−0.1690.124
 Walking0.0800.0160.3250.132

Individual/household characteristics
 Gender0.0020.024−0.0520.223
 Age−0.0010.0010.0400.012
 Income−0.0410.0070.0480.068
 Education level0.0270.0300.0280.277
 Household size−0.0710.009−0.1140.087
 Pseudo-R20.670.28

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