Location-based social networking data : doubly-constrained gravity model origin-destination estimation of the urban travel demand for Austin, TX

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dc.contributor.advisorWalton, C. Michael
dc.creatorCebelak, Meredith Kimberlyen
dc.date.accessioned2013-11-20T19:45:50Zen
dc.date.issued2013-08en
dc.date.submittedAugust 2013en
dc.date.updated2013-11-20T19:45:50Zen
dc.descriptiontexten
dc.description.abstractPopulations and land development have the potential to shift as economies change at a rate that is faster than currently employed for updating a transportation plan for a region. This thesis uses the Foursquare location-based social networking check-in data to analyze the origin-destination travel demand for Austin, Texas. A doubly-constrained gravity model has been employed to create an origin-destination model. This model was analyzed in comparison to a singly-constrained gravity model as well as the Capital Area Metropolitan Planning Organization's 2010 Urban Transportation Study's origin-destination matrices through trip length distributions, the zonal origin-destination flow patterns, and the zonal trip generation and attraction heat maps in an effort to validate the methodology.en
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/22296en
dc.language.isoen_USen
dc.subjectOrigin-destination estimationen
dc.subjectLocation-based social networkingen
dc.subjectDoubly-constrained gravity modelen
dc.titleLocation-based social networking data : doubly-constrained gravity model origin-destination estimation of the urban travel demand for Austin, TXen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen

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