The Formulation and Estimation of a Spatial Skew-Normal Generalized Ordered-Response Model

Ordered-response (OR) choice models are now widely used in many different disciplines, including sociology, biology, political science, marketing, and transportation. OR models may be used when analyzing ordinal discrete outcome data that may be considered as manifestations of an underlying scale that is endowed with a natural ordering. In this proposal, we will use the GOR structure as the starting point, and extend the formulation in two different directions. The first direction relates to the distribution of the kernel error distribution, and the second relates to spatial dependence. We will apply the proposed model to examine the determinants of bicycling frequency using data from the Puget Sound Regional Council in the state of Washington.

Language

  • English

Project

  • Status: Completed
  • Funding: $20000
  • Contract Numbers:

    DTRT13-G-UTC58

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Bhat, Chandra

  • Performing Organizations:

    Data-Supported Transportation Operations and Planning Center

    University of Texas at Austin
    Austin, TX  United States  78701
  • Principal Investigators:

    Bhat, Chandra

  • Start Date: 20150101
  • Expected Completion Date: 20160630
  • Actual Completion Date: 20160630
  • Source Data: 117

Subject/Index Terms

Filing Info

  • Accession Number: 01580154
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: DTRT13-G-UTC58
  • Files: UTC, RiP
  • Created Date: Oct 29 2015 12:18PM