Abstract
Among more than two disaggregate behavioral data like revealed and stated preference data collected from same individuals, the serial correlation is usually included. This paper develops a discrete choice model and its estimation method that combined some serially correlated datasets. This method is applied to SP and RP data for the introduction of P & BR system and time series location data of same lots. These two case studies show effectiveness and availability of the proposed method.
