The interconnection among different choices by the same decision-maker is fairly well established in the literature. Along this line, this paper aims to identify how preferences for electromobility are affected by mode choices for regular trips. With this purpose in mind, a framework based on...

The ‘backhaul problem’ is characterized by an imbalance in transport flows between locations. This problem is usually studied in a perfectly competitive framework, which essentially predicts that when the imbalance is sufficiently large, the freight price of transport from low demand regions...

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...

The value of travel time plays an important role in cost benefit analysis of infrastructureprojects. However, the issue of uncertainty on travel times and the implications this has forestimations of travel time values has received much less attention in the literature. In thispaper we compare...

We describe a model that integrates a multi-regional input-output model of the U.S. (50 states and the District of Columbia) with the national highway network. Interstate commodity shipments are placed on a congestible highway network. Simulations of major choke-point disruptions redirect...

Firms adjust to differences in market size and demand uncertainty by changing the frequency and size of their export shipments. In our inventory model, transportation costs and optimal shipment frequency are determined on the basis of demand as well as inventory and per shipments costs. Using a...