Abstract

In this project the Ground Delay Program (GDP) and the Collaborative Decision Making (CDM) concepts have been studied. A statistical analysis on all GDPs that occurred during April of 2018 and during the year 2006 in the United States of America has been done. Some statistics have been derived on the number of GDPs and their causes. Results show that the 90% of the GDPs took place in only 13 and 16 airports, respectively. In both statistics Newark (EWR), in New York, have been the airport with more regulations. In addition, in April the 87% of the GDPs were caused by bad weather conditions versus a 74% in 2006. Furthermore, a complex study has been done at 2006 as the assigned delay and the number of affected flights per airport showing that the 90% of the total delay was assigned only in 10 airports, being Chicago the airport with more delay assigned. The same behaviour was observed with the number of affected flights: 90\\% of the flights has been related to only 10 different airports and Chicago again, was the airport with more affected flights. The results of the number of affected flights and the assigned delay have indicated a relationship. However, many airports with more flights and delay are also in the highest positions of the number of GDPs per airport list. The last part of the project is a simulation of as deterministic GHP for two different scenarios using Matlab. An optimal allocation of slots to flights taking into account its cost and the number of connection passengers of each flight has been analysed. The results have shown an exponential behaviour which increases for a high airport acceptance rates and when the flights have connection passengers. Using Ratio-by-Schedule the minimum costs have been obtained.

Abstract

refabrication in infrastructural development with a focus on airport construction and its necessity for the project's short duration. The technology of precast panels is explained in the first part of the thesis including the specifics of different areas (structures) of the airports and their various needs. A comparison between precast and cast-in-place methods is performed regarding the construction time and financial aspects. Case study of the planned expansion and a hypothetical reconstruction at the Barcelona El Prat airport is analyzed and consequent conclusions and recommendations are made. Incoming

Abstract

transport is one of the key infrastructures of today’s global economy. Connections between airports define airport networks, where nodes are cities served by airports, connected by edges if there is at least one direct flight connecting them. The aims of this research are to relate structural properties of airport networks which explain how these networks respond to isolation of critical nodes, and to gain insight into relevant socio-economic factors that influence the development of airport networks. We split the world airport network (WAN) into seven global region airport networks (GRANs), using the divisions established by OAG database. We gather information about structural properties of each GRAN determining core cities through k-core decomposition, and critical cities through robustness analysis. We find that differences of robustness across GRANs can be explained by the fraction of core cities relative to total cities. Furthermore, analysis of multilevel structure reveal relevant differences between GRANs, rooted on geographical and socio-economic factors, and give insight about how network robustness in airport networks can be enhanced Peer Reviewed Document type: Article