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

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    CEBELAK-THESIS-2013.pdf (1.786Mb)
    Date
    2013-08
    Author
    Cebelak, Meredith Kimberly
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    Abstract
    Populations 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.
    Department
    Civil, Architectural, and Environmental Engineering
    Description
    text
    Subject
    Origin-destination estimation
    Location-based social networking
    Doubly-constrained gravity model
    URI
    http://hdl.handle.net/2152/22296
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    • facebook
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    • CONTACT US
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    • UT Austin Home
    • Emergency Information
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    • Web Accessibility Policy
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    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin