This paper proposes an analytical framework for scheduling decisions of road travelers that takes into account probability weighting using rank dependent utility theory. The fundamental difference with the standard scheduling model based on expected utility is that the probabilities of arrivals...

Unreliable travel times cause substantial costs to travelers. Nevertheless, they are not taken into account in many cost-benefit-analyses (CBA), or only in very rough ways. This paper aims at providing simple rules on how variability can be predicted, based on travel time data from Dutch...

In this paper we investigate the effects of new railway stations on house prices using an extensive repeated sales dataset over a period of 13 years. We employ semiparametric panel data techniques allowing for anticipation effects of station openings. We show that a kilometre reduction in...

This study assessed the travel characteristics of the elderly population in Lokoja metropolis in North Central Nigeria. This was with a view to developing a database for proper formulation and implementation of a sustainable transport policy for elderly people in Lokoja metropolis in particular...

This report estimates the CO2 emissions of freight transport on a hypothetical high-speed rail (HSR) line along the northern route, from Lyon to Warsaw, of a 'European Silk Road' (ESR). Using a methodology consisting of predictions regarding the freight-carrying capacity of the future HSR, and...

This paper develops a practical approach to estimate the benefits of improved reliability of road networks. We present a general methodology to estimate the (changes in) scheduling costs due to (changes in) travel time variability for car travel. We focus on situations where only mean delays are...

This paper proposes an analytical framework for scheduling decisions of road travelers that takes into account probability weighting using rank dependent utility theory. The fundamental difference with the standard scheduling model based on expected utility is that the probabilities of arrivals...

Unreliable travel times cause substantial costs to travelers. Nevertheless, they are not taken into account in many cost-benefit-analyses (CBA), or only in very rough ways. This paper aims at providing simple rules on how variability can be predicted, based on travel time data from Dutch...

In this paper we investigate the effects of new railway stations on house prices using an extensive repeated sales dataset over a period of 13 years. We employ semiparametric panel data techniques allowing for anticipation effects of station openings. We show that a kilometre reduction in...

This paper develops a practical approach to estimate the benefits of improved reliability of road networks. We present a general methodology to estimate the (changes in) scheduling costs due to (changes in) travel time variability for car travel. We focus on situations where only mean delays are...