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A consolidated model of trip distribution


  • de Grange, Louis
  • Fernández, Enrique
  • de Cea, Joaquín


This work analyzes and compares various trip distribution models with spatial aggregation within a common theoretical framework for formulating and solving multi-objective optimization problems. A new model is designed that incorporates the main characteristics of existing ones. These models are then calibrated with a single database at different spatial aggregation levels using maximum likelihood. The results show that with aggregated data the various models differ little, but with disaggregated data the differences are considerable. It is also demonstrated that changing the level of data aggregation can significantly alter the models' parameter values.

Suggested Citation

  • de Grange, Louis & Fernández, Enrique & de Cea, Joaquín, 2010. "A consolidated model of trip distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 61-75, January.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:1:p:61-75

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    Cited by:

    1. 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.
    2. Goerigk, Marc & Deghdak, Kaouthar & Heßler, Philipp, 2014. "A comprehensive evacuation planning model and genetic solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 82-97.
    3. Xu, Xiangdong & Chen, Anthony & Kitthamkesorn, Songyot & Yang, Hai & Lo, Hong K., 2015. "Modeling absolute and relative cost differences in stochastic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 686-703.


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