The application of revenue management in airlines, mainly driven by profitability seeking and an increased competition, has led to the evolution of so-called booking ploys, where passengers exploit technical loopholes to reduce their ticket fares significantly. One of these booking ploys is...

Throughout the last years, open big data has brought many challenges and revealed much potential for transportation research. In this study, we show how large open datasets can be used to accurately estimate the accessibility of transportation infrastructure for whole China, a scale...

The COVID-19 pandemic can be considered an unparalleled disruption to the aviation industry in the last century. Starting with an at-that-time inconceivable reduction in the number of flights from March 2020 to May 2020, the aviation industry has been trying to navigate through and out of the...

We propose a Bayesian stochastic search approach to selecting restrictions on multivariate regression models where the errors exhibit deterministic or stochastic conditional volatilities. We develop a Markov Chain Monte Carlo (MCMC) algorithm that generates posterior restrictions on the...

The use of hierarchical Bayesian spatial models in the analysis of ecological data is increasingly prevalent. The implementation of these models has been heretofore limited to specifically written software that required extensive programming knowledge to create. The advent of WinBUGS provides...