Abstract
A particular growth factor model, the Furness, is examined. Its application and functional form are described together with the method of iteration used in its operation. The "expected information" statistics is described and interpreted and it is shown that the Furness model predicts a trip distribution which, when compared with observed trips, has the minimum expected information subject to origin and destination constraints.