Abstract
A random-utility model system of the individual's consumption of service and goods under monetary and temporal constraints is presented as a new methodology to analyze the individual's travel demand. The model is formulated as a system of non-linear Tobit models whose parameters are estimated using individuals' travel behavior, time use and expenditure data. Parameter estimates indicate that male or high-income individuals tend to allocate more time and money to non-routine activities, for example sight seeing or leisure activities. This tendency are also indicated by a scenario analysis using in which Monte Carlo simulation was performed using this model system.
