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.
| Variable | Any transit trips | Transit trips | Coefficient | S.E. | Coefficient | S.E. |
| Internet use characteristics | | | | | Time spent online | 0.004 | 0.005 | −0.038 | 0.040 | Frequency of e-shopping | 0.016 | 0.014 | 0.084 | 0.100 | Frequency of ordering food online | 0.082 | 0.011 | 0.034 | 0.088 |
| Built environment attributes | | | | | (Reference: ecological zone) | | | | | Core zone | −0.262 | 0.065 | −1.118 | 0.413 | Extended zone | 0.077 | 0.047 | −1.387 | 0.282 | Development zone | 0.001 | 0.049 | −1.087 | 0.279 | Distance to the nearest bus stop | −0.012 | 0.015 | −0.066 | 0.113 | Distance to the nearest metro station | −0.091 | 0.012 | 0.026 | 0.092 | Distance to the nearest sport facilities | 0.155 | 0.011 | −0.031 | 0.083 | Distance to the nearest garden | 0.040 | 0.011 | 0.053 | 0.081 | Distance to the nearest restaurant | −0.024 | 0.014 | −0.008 | 0.109 | Distance to the nearest mall | −0.025 | 0.012 | −0.131 | 0.087 |
| Attitudes | | | | | Driving | −0.094 | 0.015 | 0.055 | 0.114 | Public transit | 0.340 | 0.018 | 0.663 | 0.117 | Walking | −0.146 | 0.018 | 0.168 | 0.129 |
| Individual/household characteristics | | | | | Gender | 0.155 | 0.029 | −0.002 | 0.208 | Age | −0.007 | 0.001 | 0.020 | 0.011 | Income | 0.069 | 0.008 | 0.013 | 0.064 | Education level | −0.076 | 0.038 | −0.393 | 0.250 | Household size | −0.028 | 0.011 | 0.075 | 0.078 | Pseudo-R2 | 0.48 | | 0.20 | |
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Note: Significance level of 10%. Significance level of 5%. Significance level of 1%. |