Modeling household interactions in daily activity generation
dc.contributor.advisor | Bhat, Chandra R. (Chandrasekhar R.), 1964- | en |
dc.creator | Srinivasan, Sivaramakrishnan | en |
dc.date.accessioned | 2008-08-28T21:59:54Z | en |
dc.date.available | 2008-08-28T21:59:54Z | en |
dc.date.issued | 2004 | en |
dc.description | text | en |
dc.description.abstract | This dissertation seeks to contribute to the area of activity-based travel- demand modeling by examining the impacts of inter-personal interactions within a household on the daily activity participation choices of individuals. A comprehensive analysis framework is developed for modeling the weekday, in-home and out-of- home activity participation choices of adults in active, nuclear-family households, as an outcome of individual and household needs, desires, opportunities, and spatio- temporal and resource constraints. The analysis framework explicitly captures several kinds of interactions between the household heads, such as sharing of household-maintenance tasks, engagement in joint activities, and the trade-offs between independent and joint discretionary activity participation. In addition to these inter-personal interactions, the intra-personal trade-offs among the different activity participation choices are also accommodated in this framework. The empirical model system in this study comprise the following three components: (1) a seemingly unrelated regressions model for in-home maintenance activity generation, (2) a joint mixed-logit hazard-duration model for out-of-home maintenance activity generation, and (3) a multiple discrete-continuous (binary logit - linear regression) model system for discretionary activity generation. These models are estimated using data from the 2000 Bay Area Travel Survey. This research also develops a micro-simulation framework for using the model system for predicting disaggregate, household-level, activity-participation choices. Thus, the modeling framework developed in this dissertation, can be embedded as an enhanced “activity-generation module” within a comprehensive micro-simulation-based activity-travel forecasting system. Finally, an application of the developed micro-simulation framework for the analysis of the impacts of policy actions on the inter-dependent daily activity participation choices of adults is presented. In the overall, this research is envisioned as a very important first step in the development of an operational, activity-based, travel-demand forecasting system that comprehensively accommodates various intra-personal and inter-personal linkages in daily activity-travel choices. | |
dc.description.department | Civil, Architectural, and Environmental Engineering | en |
dc.format.medium | electronic | en |
dc.identifier | b59345573 | en |
dc.identifier.oclc | 58397217 | en |
dc.identifier.proqst | 3150928 | en |
dc.identifier.uri | http://hdl.handle.net/2152/1415 | en |
dc.language.iso | eng | en |
dc.rights | Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. | en |
dc.subject.lcsh | Traffic surveys--Mathematical models | en |
dc.subject.lcsh | Traffic estimation--Mathematical models | en |
dc.subject.lcsh | Logits | en |
dc.title | Modeling household interactions in daily activity generation | en |
dc.type.genre | Thesis | en |