We study the provision of information to tourists in a probabilistic setting. Specifically, we provide answers to three hitherto unstudied questions in the tourism literature. We first delineate a continuous-time Markov chain (CTMC) model of a tourist information center (TIC) and then we compute...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

For a firm that provides transport to tourists/visitors and operates in a probabilistic environment, the twin issues of visitor classification and vehicle breakdowns have received scant attention in the extant literature. Therefore, we conduct a stochastic analysis of these two issues in this...

For a firm that provides transport to tourists/visitors and operates in a probabilistic environment, the twin issues of visitor classification and vehicle breakdowns have received scant attention in the extant literature. Therefore, we conduct a stochastic analysis of these two issues in this...