Abstract
A least-squares approach for estimating parameters of trip distribution models commonly used in urban and 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. Some ideas for further research are given.