Using Generalized Estimating Equations to Account for Correlation in Route Choice Models

This paper presents the use of binary and multinomial generalized estimating equation techniques (BGEE and MGEE) for modeling route choice. The modeling results showed significant effects on route choice for travel time, traffic information, weather, number of roadway links, and driver age and education level, among other factors. Each model was developed with and without a covariance structure of the correlated choices. The effect of correlation was found to be statistically significant in both models, which highlights the importance of accounting for correlation in route choice models that may lead to vastly different travel forecasts and policy decisions.

Language

  • English

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Filing Info

  • Accession Number: 01004166
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 15 2005 3:02PM