In many transportation systems, a mismatch between the associated design and planning decisions demand is typically encountered. A tailored system not only appealing to operators, which could have better knowledge of their operational costs, but also users, since they would benefit from an increase in level service satisfaction. Hence, it important explicitly allow for interactions two model go...

This paper provides numerically trivial estimators for short panels of either binary choices or of linear models that suffer from confounded, missing not at random sample selection. The estimators allow for Þxed effects, endogenous regressors, weakly exogenous regressors, and heterokedastic errors with unknown distribution. The estimators, which converge at rate root n, are based on variants of...

Travel demand is well announced as a crucial component of transportation planning. This paper aims to develop a direct demand model, denoting a more acceptable abstraction of reality, for intercity passengers in daily work and leisure trips in Tehran province. The model utilizes combined estimation across the data source, collected in 2011, of travelers originating from ...

We show that the distributions of random coefficients in various discrete choice models are nonparametrically identified. Our identification results apply to static discrete choice models including binary logit, multinomial logit, nested logit, and probit models as well as to dynamic programming discrete choice models. In these models the only key condition we need to verify for identification ...