The estimation of travel time value - TTV - parameter can be done using some methodologies that can be match into two functional specification background: the first is the structured economic theory approach and the second is the statistical with multiple equations. The first approach is adopted in this study because it has a higher rationality and during the evolution of estimation models of TTV, many doubts arose related to the reliability of the estimation methods comparing the estimated parameter with the population parameter. Among the estimation methods one that aims to improve outcomes is to bring together different data sources, but that was not used to see improvement in the estimation of the TTV. This paper presents a study on the estimation of discrete choice models using a combination of two sources of data and calculating values of travel time for different structural models, according to the theory of time value. The work expands Morikawa (1989) approach formalizing the assumptions necessary for a estimation with two data sources using the data base from Ceará and it indicates that good data source combination can depend of the data source.
travel time value; data sources; passengers transport; discrete choice model