Table 3.
Estimates of the impact of COVID-19 on motor vehicle traffic.
| Variable | Full sample (NꞏT = 309,400) |
Non-working days (NꞏT = 106,479) |
Working days, 6–9AM & 5–8PM (NꞏT = 67,609) |
Working days, 9AM-5PM & 8PM-6AM (NꞏT = 135,312) |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | Coeff. | S.E. | |
| Panel A. Cars | ||||||||||||||||
| COVID-19 (0/1) | 0.108 | 0.070 | −0.522*** | 0.083 | 0.625*** | 0.187 | 0.318** | 0.134 | ||||||||
| Effect in % | 3.58 % | −19.69 % | 16.38 % | 10.92 % | ||||||||||||
| COVID-19 cases | 0.000 | 0.001 | −0.003*** | 0.001 | 0.016*** | 0.004 | 0.002** | 0.001 | ||||||||
| Effect in % | 0.01 % | −0.11 % | 0.43 % | 0.06 % | ||||||||||||
| Panel B. Vans/trucks/buses | ||||||||||||||||
| COVID-19 (0/1) | 0.013 | 0.476 | −0.024 | 0.016 | 0.027* | 0.014 | 0.019* | 0.011 | ||||||||
| Effect in % | 2.11 % | −4.98 % | 3.51 % | 2.76 % | ||||||||||||
| COVID-19 cases | 0.000 | 0.003 | 0.000 | 0.006 | 0.001* | 0.000 | 0.000 | 0.005 | ||||||||
| Effect in % | 0.07 % | −0.10 % | 0.09 % | 0.06 % | ||||||||||||
| Panel C. Scooters | ||||||||||||||||
| COVID-19 (0/1) | 0.182 | 0.134 | −0.202** | 0.079 | 0.216*** | 0.065 | 0.195*** | 0.025 | ||||||||
| Effect in % | 16.47 % | −23.32 % | 21.07 % | 14.69 % | ||||||||||||
| COVID-19 cases | 0.017 | 0.020 | −0.009*** | 0.003 | 0.016*** | 0.004 | 0.021* | 0.011 | ||||||||
| Effect in % | 1.55 % | −1.06 % | 1.59 % | 1.60 % | ||||||||||||
Note: The dependent variable is the number of vehicles in 100s during a 1-h period. The percentage magnitude of the COVID-19 effect is evaluated using the sample mean of the dependent variable in the full sample. The full list of explanatory variables in each regression is reported in Appendix Table A5. Standard errors are clustered by day and traffic monitoring station. ***,**, * indicate significance at the 1 %, 5 % and 10 % level, respectively.