Abstract
Studying travel behavior and activity engagement in an activity-based framework has been a focus of research for nearly half a century. A number of elegant and comprehensive models have been developed to address questions pertaining to activity participation, agenda formation, scheduling, and travel behavior of individuals. Despite the progress made in activity-based models, there is still a significant need for model improvements in the sense of modeling activity selection procedure and scheduling. In this paper, the authors propose a comprehensive model, which is the integration of discrete choice models, fuzzy concepts and Household Activity Pattern Problem (HAPP) to forecast household activity pattern based on socio-demographic characteristics. By using the values of probabilities obtained from a multivariate probit model applied to clustered households and mapping them to a set of fuzzy graphs, the authors compute the possibility of inclusion of an activity in the agenda. Activity scheduling and selection is then modeled as the outcome of a mixed integer optimization problem, in which the objective function is maximizing the expected desirability gained from activities and total saved time, subject to network connectivity, time windows, time budget and cost budget constraints.