Date of Award
Master of Science (MS)
A key methodological and behavioral innovative component in recent Activity-Based Models (ABMs) used for transportation planning is the household-level non-mandatory activity participation component. While traditional ABMs use a series of simple models to predict non-mandatory activity participation decisions in a sequential manner (which is often not correct), the Multiple Discrete Continuous Extreme Value (MDCEV) model can model both individual and joint non-mandatory activity participation and time allocation decisions in different out-of-home activities of all household members simultaneously. A key advantage of the MDCEV framework is that it accounts for complex intra-household interactions among different household members by allocating the total household time available in a day to different household members in a utility-consistent manner. However, the earlier time-use models worked with a single household level time budget constraint. So, the model ensures consistency of time predictions with the total household available time but it can violate person level budget constraints. The primary objective of this thesis is to enhance the behavioral and prediction accuracy of the MDCEV model in the time-use context by developing an improved model that handles multiple person level budget constraints.
"A Household Daily Non-Mandatory Activity Participation and Duration Modeling Accounting for Person Level Budget Constraints"
(2017). Master of Science (MS), Thesis, Civil/Environmental Engineering, Old Dominion University, DOI: 10.25777/njhv-6s61