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A consolidated model of trip distribution

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Author Info

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

Abstract

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.

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File URL: http://www.sciencedirect.com/science/article/pii/S1366554509000684
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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

Volume (Year): 46 (2010)
Issue (Month): 1 (January)
Pages: 61-75

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Handle: RePEc:eee:transe:v:46:y:2010:i:1:p:61-75

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Related research

Keywords: Trip distribution Multi-objective optimization Gravity model Entropy Maximum likelihood Spatial aggregation;

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