查看文章

This paper parameterizes the coefficient of travel time in a mode choice model, capturing the systematic heterogeneity of the impact of travel time. The authors interact several plausible pools of variables, including socioeconomic, mode perception, attitudinal, and multitasking behavior measures, with in-vehicle (IVTT) and out-of-vehicle travel time (OVTT). The authors find that age, income, mode benefit perception, education, and propensity to use a laptop significantly influence the impact of IVTT. The authors analyze the distribution as a function of these variables. Further, the authors investigate the discounting effect of productive multitasking on the negative utility of travel time and the resulting reduced valuation of travel time (VTT), and discuss these findings in the context of a future in which autonomous vehicles (AVs) dominate the transportation landscape. The results show an average 20%-30% reduction in VTT as a result of productive multitasking, although the median values appear to be approximately half the average values.