A consolidated model of trip distribution

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.