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Integration of Spatial Correlation into a Combined Travel Model with Hierarchical Levels

Author

Listed:
  • Louis De Grange
  • David Boyce
  • Felipe González
  • Juan De Dios Ortúzar

Abstract

A combined travel model incorporating spatial correlation is derived from the optimality conditions of a multi-objective optimization framework, in which the trip generation and distribution steps are expressed as hierarchical logit functions. Different forms of spatial correlation are shown to be easily accommodated in combined models using hierarchical logit structures. An extension incorporates spatial correlation into combined models enabling analyses of the impacts of urban development policies on transportation systems as well as the effects of transportation projects on trip generation. A principal finding is that integration of spatial correlation into travel models significantly improves their explanatory power and forecasting abilities; indeed, its exclusion may lead to biased parameter estimates.

Suggested Citation

  • Louis De Grange & David Boyce & Felipe González & Juan De Dios Ortúzar, 2013. "Integration of Spatial Correlation into a Combined Travel Model with Hierarchical Levels," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 71-91, March.
    • Handle: RePEc:taf:specan:v:8:y:2013:i:1:p:71-91
    DOI: 10.1080/17421772.2012.754489
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    Cited by:

    1. Felipe González & Carlos Melo-Riquelme & Louis Grange, 2016. "A combined destination and route choice model for a bicycle sharing system," Transportation, Springer, vol. 43(3), pages 407-423, May.
    2. Louis Grange & Felipe González & Juan Muñoz & Sebastián Raveau, 2014. "An Improved Stirling Approximation for Trip Distribution Models," Networks and Spatial Economics, Springer, vol. 14(3), pages 531-548, December.

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