· · · Institutional Repository

There is a growing awareness that road networks, especially in major urban areas, are becoming more and more vulnerable to unforeseen disturbances like incidents because of the fact that the level of congestion keeps growing. Therefore, robustness measures have to be taken. In this paper the robust road network design problem is presented as well as a solution algorithm for solving the problem. The solution algorithm combines expert knowledge with advanced modeling techniques. In this way the method can be applied to large scale networks. This paper shows the quality of the algorithm for a test network.

A mathematical model to estimate the average airlines operational costs and airports charges per route is important for airlines companies trying to open new routes and for data generation for other purpose such as transport modeling, simulation modeling, investment analyses for airlines and airports, etc. In this paper, a mathematical model is proposed for calculating airline operations costs and airports charges on a certain route by a specific airline. This model was set up by analyzing the domestic US air transport market. A multi-regression analysis determined the relation between distance, airline operations costs and airports charges between origin and destination and market fares. The model calculates the average airlines operations costs and airports charges per route by using these costs as parameters to estimates airlines routes fares. Thus, Airlines and airports cost factors are estimated by least square method between real fares data per route and the proposed model estimations. The results have been validated comparing with real airlines operations costs data showing a correlation over 99%, meaning that the average airlines operational costs and airports charges per route can be estimated by the model using real fares data and also that route fares are mainly determined by airline operations costs and airport charges.