Abstract This paper presents an approach to estimate mode-choice models from spatially anonymized revealed preference travel survey data. We propose algorithm find a feasible sequence of activity locations for each individual that minimizes the maximum error trip’s Euclidean distance within chain. The synthetic are then used create unchosen alternatives choice set individual. is followed by mod...

The Dirichlet distribution is a well-known candidate in modeling compositional data sets. However, the presence of outliers, fails to model such sets, making other extensions necessary. In this paper, Kummer–Dirichlet and gamma are coupled, using beta-generating technique. This development results proposal distribution, which presents greater flexibility Some general properties, as probability ...