A consolidated model of trip distribution

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 the...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2010, Vol.46 (1), p.61-75
Main Authors: de Grange, Louis, Fernández, Enrique, de Cea, Joaquín
Format: Article
Language:English
Subjects:
Calibration
Comparative analysis
Distribution
Entropy
Gravity model
Maximum likelihood
Maximum likelihood method
Multi-objective optimization
Optimization
Spatial aggregation
Studies
Transportation problem (Operations research)
Trip distribution
Trip distribution Multi-objective optimization Gravity model Entropy Maximum likelihood Spatial aggregation
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Summary: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.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2009.06.001