Abstract
Theoretical discussions of travel behaviour recognize the day to day variability of such behaviour and provide a rationale for such variability. However, this variability is commonly ignored in the process of data collection and model estimation. This paper examines the estimation of disaggregate least squares regression models of person trip generation with multiday data.