An Agent-Based Model To Examine Housing Price, Household Location Choice, And Commuting Times In Knox County, Tennessee

dc.contributor.advisorClifton, Kellyen_US
dc.contributor.authorMulbrandon, Matthewen_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2007-09-28T15:02:44Z
dc.date.available2007-09-28T15:02:44Z
dc.date.issued2007-08-22en_US
dc.description.abstractThe research conducted for this thesis uses an agent-based model (ABM) to simulate housing price, location, and journey to work (JTW) times for households in Knox County, Tennessee. The model is a unique hybrid, combining analytic functions and agents that typically have been used separately for theoretical urban research in very simplified urban landscapes. At the same time it uses data from a real urban area to run and calibrate the model, which is common for statistically-based or gravity models. There are two goals for this simulation; first to examine the feasibility of this approach in urban modeling, second to test the effect of altering transportation times and preferences on agent behavior. Results show this approach can fit real data and represent urban processes reasonably well. In addition several interesting and surprising results are reported from model runs.en_US
dc.format.extent5991374 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/7384
dc.language.isoen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pqcontrolledUrban and Regional Planningen_US
dc.subject.pquncontrolledAgent-Based Modelingen_US
dc.subject.pquncontrolledTransportationen_US
dc.subject.pquncontrolledCongestionen_US
dc.subject.pquncontrolledUrbanen_US
dc.subject.pquncontrolledHousing Choiceen_US
dc.titleAn Agent-Based Model To Examine Housing Price, Household Location Choice, And Commuting Times In Knox County, Tennesseeen_US
dc.typeThesisen_US

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