Transportation researchers have long struggled to find satisfactory ways ofdescribing and analysing traffic congestion, as evident from the large numberof often competing approaches and models that have been developed. This paperaims to provide a review of the literature on this topic. The paper...

The paper characterizes first and second order tail behavior ofconvolutions of i.i.d. heavy tailed random variables with supporton the real line. The result is applied to the problem of riskdiversification in portfolio analysis and to the estimation of theparameter in a MA(1) model.

In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable in the mean equation. The same extension...

This paper studies the second-best problem where not all links of a congestedtransportation network can be tolled. The second-best tax rule for thisproblem is derived for general static networks, so that the solution presentedis valid for any graph of the network and any set of tolling points...

This paper studies urban sustainability from the perspective ofexternalities. We develop a general spatialequilibrium model of a monocentric city, in which two types ofexternalities occur. On the one hand, pollution inthe industrial centre leads to a spatially differentiateddeterioration of the...

In this paper we compare the predictive abilility of Stochastic Volatility (SV)models to that of volatility forecasts implied by option prices. We develop anSV model with implied volatility as an exogeneous var able in the varianceequation which facilitates the use of statistical tests for...

Accident costs are an important component of the external costs of traffic, a substantial part of whichis related to fatal accidents. The evaluation of fatal accident costs crucially depends on theavailability of an estimate for the economic value of a statistical life. The aim of the...

Convergence in gross domestic product series of five European countriesis empirically identified using multivariate time series models that arebased on unobserved components with dynamic converging properties.We define convergence in terms of a decrease in dispersion over timeand model this...

A dynamic 'car-following' extension of the conventional economic model of traffic congestion is presented, which predicts the average cost function for trips in stationary states to be significantly different from the conventional average cost function derived from the speed-flow function. When...