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.
| Variable | Any active trips | Active trips | Coef. | S.E. | Coef. | S.E. |
| Internet use characteristics | | | | | Time spent online | 0.008 | 0.004 | 0.066 | 0.029 | Frequency of e-shopping | −0.084 | 0.012 | −0.118 | 0.107 | Frequency of ordering food online | −0.055 | 0.010 | 0.067 | 0.094 |
| Built environment attributes | | | | | (reference: ecological zone) | | | | | Core zone | 0.137 | 0.052 | −0.323 | 0.444 | Extended zone | 0.126 | 0.038 | −0.438 | 0.308 | Development zone | 0.211 | 0.037 | −0.264 | 0.309 | Distance to the nearest bus stop | 0.053 | 0.012 | −0.151 | 0.118 | Distance to the nearest metro station | 0.013 | 0.011 | 0.067 | 0.099 | Distance to the nearest sport facilities | 0.069 | 0.009 | −0.031 | 0.087 | Distance to the nearest garden | −0.106 | 0.009 | −0.007 | 0.086 | Distance to the nearest restaurant | 0.019 | 0.012 | 0.118 | 0.108 | Distance to the nearest mall | −0.009 | 0.010 | 0.144 | 0.100 |
| Attitudes | | | | | Driving | −0.160 | 0.013 | −0.365 | 0.126 | Public transit | 0.086 | 0.014 | −0.169 | 0.124 | Walking | 0.080 | 0.016 | 0.325 | 0.132 |
| Individual/household characteristics | | | | | Gender | 0.002 | 0.024 | −0.052 | 0.223 | Age | −0.001 | 0.001 | 0.040 | 0.012 | Income | −0.041 | 0.007 | 0.048 | 0.068 | Education level | 0.027 | 0.030 | 0.028 | 0.277 | Household size | −0.071 | 0.009 | −0.114 | 0.087 | Pseudo-R2 | 0.67 | | 0.28 | |
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Note: Significance level of 10%. Significance level of 5%. Significance level of 1%. |