Abstract
A least-squares approach for estimating parameters of trip distribution models commonly used in regional transportation studies is developed. For a small reference system with three origins and three destinations parameters estimated by least squares are compared to parameters estimated by the maximum likelihood procedure developed by Hyman and Evans. Some ideas for further research are given. (A)