Air traffic growth and especially hubs development cause new significant congestion and ground delays on major airports. Accurate models of airport traffic prediction can provide new tools to assist ground controllers in choosing the best taxiways and the most adapted holding points for aircraft. Such tools could also be used by airport designers to evaluate possible improvements on airport con...

In the last two decades corporate social responsibility (CSR), particularly when related to environmental issues, has been discussed extensively in the business literature. However, defining and measuring CSR remains a complicated process. One of the main reasons for the problematic measurement of CSR is the absence of a common framework in which business-society relations will be included. Wit...

In March 2014, CDC identified a possible cluster of four laboratory-confirmed measles cases among passengers transiting a domestic terminal in a U.S. international airport. Through epidemiologic assessments conducted by multiple health departments and investigation of flight itineraries by CDC, all four patients were linked to the same terminal gate during a 4-hour period on January 17, 2014. P...

Airport traffic consists of aircraft performing landing, takeoff and taxi procedures. It is controlled by air traffic controller (ATC). To safely perform this task he/she uses traffic surveillance equipment and voice communication systems to issue control clearances. One of the most important indicators of this process efficiency is practical airport capacity, which refers to the number of airc...

Airport gate assignment is to appoint a gate for the arrival or leave flight and to ensure that the flight is on schedule. Assigning the airport gate with high efficiency is a key task among the airport ground busywork. As the core of airport operation, aircraft gate assignment is known as a kind of complicated combinatorial optimization problem. This paper proposed robust assignment model to m...

Scheduled arriving aircraft demand may exceed airport arrival capacity when there is abnormal weather at an airport. In such situations, Federal Aviation Administration (FAA) institutes ground-delay programs (GDP) to delay flights before they depart from their originating airports. Efficient GDP planning depends on the accuracy of prediction of airport capacity and demand in the presence of unc...

In this paper, we present a linear dynamic stochastic optimization model for Air Traffic Flow Management (ATFM) that accounts for uncertainty in both airport and en route airspace capacity. Rather than analyzing this problem in its full generality, we focus on the case in which there is a single destination airport and a small number of arrival fixes subject to blockage or reduced capacity as a...

This article focuses on the issue of airport emergency plans, which are documents describing reactions to events with impact on aviation safety or aviation security. The article specifically focuses on the use and creation of emergency plans, where could be found a number of disagreements between different stakeholders, for which the airport emergency plan applies. Those are the friction surfac...

Due to air traffic growth and especially hubs development, major European airports can easily become bottlenecks in the global air transportation network. Therefore, accurate models of airport traffic prediction become more and more necessary for ground controllers. In this paper, a ground traffic simulation tool is proposed and applied to Roissy Charles De Gaulle airport. Two global optimizati...

The study derives a framework for assessing airport efficiency through evaluating optimal arrival and departure delay thresholds. Assumptions of airport efficiency measurements, though based upon minimum numeric values such as 15 min of turnaround time, cannot be extrapolated to determine proportions of delay-days of an airport. This study explored the concept of delay threshold to determine th...