Large scale assessment of student performance is a regular feature of the international education landscape. The International Civic and Citizenship Education Study (ICCS) is a recent attempt with a focus on citizenship knowledge and skills. Student political trust data from ICCS is reported...

The introduction of plug-in electric vehicles (PEVs) represents an unprecedented interaction between the road network and electricity grid. By replacing the traditional fuel source, petrol, with electricity, PEVs will increase the demand for electric power in a region and change emission...

In transportation subnetwork–supernetwork analysis, it is well known that the origin–destination (O–D) flow table of a subnetwork is not only determined by trip generation and distribution, but also a result from traffic routing and diversion, due to the existence of internal–external,...

A reliable, cost-effective and safe transportation system is essential to economic growth. To keep pace with demands for network capacity, revenue-generating projects are increasingly being used to complement the current procurement practices and lessen the pressure on public finances. In such...

This paper presents an evacuation route planning model that both accounts for demand uncertainty (i.e. the number of evacuees) as well as capacity uncertainty (i.e. the road capacities). To ensure reliability, the model plans for more evacuees (i.e. demand inflation) and less road capacity (i.e....

In this paper we present a novel methodology to assess travel time reliability in a transportation network, when the source of uncertainty is given by random road capacities. Specifically, we present a method based on the theory of Fourier transforms to numerically approximate the probability...

This paper is concerned with roadway pricing amidst the uncertainty which characterizes long-term transportation planning. Uncertainty is considered both on the supply-side (e.g., the effect of incidents on habitual route choice behavior) and on the demand-side (e.g., due to prediction errors in...

We use statistical model selection criteria and Avramov's (2002) Bayesian model averaging approach to analyze the sample evidence of stock market predictability in the presence of model uncertainty. The empirical analysis for the Swiss stock market is based on a number of predictive variables...