SPATIAL AUTOREGRESSIVE ERROR COMPONENTS IN TRAVEL FLOW MODELS

This study proposes a generalization of the error component formulation to model the correlation among the errors of a regression based on travel flow data. The error term is broken down into a sum of one component related to the origin zone, one component related to the destination zone and a remainder. Each component is assumed to result from a first-order spatial autoregressive generating process. An efficient estimation approach based on maximum likelihood which addresses the practical implementation of such a model with a large sample size is suggested.

  • Corporate Authors:

    University of Montreal

    Center for Research on Transportation (CRT)/CIRRELT
    P.O. Box 6128, Station Centre-ville
    Montreal, Quebec  Canada  H3C 3J7
  • Authors:
    • Bolduc, D
    • Laferriere, R
    • Santarossa, G
  • Publication Date: 1991

Media Info

  • Pagination: 16 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00622163
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Files: TRIS
  • Created Date: May 31 1992 12:00AM