The escalating impacts of climate change on coastal regions stress the urgency for effective adaptation strategies, particularly for the case of high-risk countries such as Bangladesh. Naturebased solutions, grey and mixed coastal infrastructure offer promising solutions for addressing these...

The escalating impacts of climate change on coastal regions stress the urgency for effective adaptation strategies, particularly for the case of high-risk countries such as Bangladesh. Naturebased solutions, grey and mixed coastal infrastructure offer promising solutions for addressing these...

This paper shows that, when modelling freight demand, taking into consideration the presence of attribute cutoffs is important and has relevant repercussions on the estimates of service attributes coefficients. In this paper we focus on mode choice models for freight transport demand in the...

This paper investigates transport providers’ preferences for alternative loading bays and pricing policies. It estimates the importance of loading bays, the probability of finding them free and offers strategically relevant information to policy makers. The results underline the relevance of...

 Hidden Markov Models can be considered an extension of mixture models, allowing fordependent observations. In a hierarchical Bayesian framework, we show how ReversibleJump Markov Chain Monte Carlo techniques can be used to estimate the parameters of amodel, as well as the number of regimes. We...

We propose a class of estimators of the Bayes factor which is based on an extension of the bridge sampling identity of Meng & Wong (1996) and makes use of the output of the reversible jump algorithm of Green (1995). Within this class we give the optimal estimator and also a suboptimal one which...

This paper systematically compares methods to build confidence intervals for willingness to pay measures in a discrete choice context. It contributes to the literature by including methods developed in other research fields. Monte Carlo simulations are used to assess the performance of all the...