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

Table 3

Estimated effects of ICT use on auto trips.

Variable	Any auto trips		Number of auto trips
	Coefficient	S.E.	Coefficient	S.E.
Internet use characteristics
Time spent online	−0.021	0.006	−0.015	0.031
Frequency of e-shopping	0.019	0.017	−0.206	0.093
Frequency of ordering food online	0.000	0.016	−0.1986	0.083
Built environment attributes
(Reference: ecological zone)
Core zone	−0.302	0.074	0.247	0.392
Extended zone	−0.409	0.050	0.001	0.279
Development zone	−0.348	0.050	−0.186	0.280
Distance to the nearest bus stop	−0.020	0.019	−0.095	0.102
Distance to the nearest metro station	0.087	0.017	−0.034	0.085
Distance to the nearest sport facilities	0.053	0.015	0.124	0.073
Distance to the nearest garden	−0.0023	0.014	0.144	0.075
Distance to the nearest restaurant	0.010	0.019	−0.144	0.098
Distance to the nearest mall	−0.0013	0.016	−0.034	0.079
Attitudes
Driving	0.233	0.021	−0.404	0.004
Public transit	−0.201	0.020	0.348	0.115
Walking	−0.087	0.022	0.026	0.121
Individual/household characteristics
Gender	0.123	0.037	0.191	0.194
Age	0.007	0.002	0.039	0.035
Income	0.039	0.012	0.217	0.135
Education level	−0.254	0.047	−0.440	0.226
Household size	0.042	0.014	−0.422	0.082
Pseudo-R^2	0.59		0.22

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