The Impact of Covid-19 on Flight Departure Delay Time and Cancellations at Philadelphia International Airport

The emergence of Covid-19 has deeply disturbed the aviation industry in many aspects. This study examines the effect of Covid-19 on departure delay time and flight cancellation at Philadelphia International Airport (PHL). By analyzing data of nearly 200,000 flights departed from PHL between January 2019 and February 2021, the research found that Covid-19 noticeably reduced flight departure delay time, and flight cancellations sharply rose then quickly dropped. Furthermore, flight departure delay time is highly correlated with the number of flights: the lower the number of flights, the lower the delay time. The ultimate cause is the lack of passengers, as the number of passengers dictates the number of flights an airline can successfully operate.

The Survival of Airasia During the Covid-19 Pandemic

This research is to investigate the survival of AirAsia during the pandemic Covid-19. The findings will show how AirAsia faced challenges during the pandemic and ways to overcome them. This research underlined the challenges faced by AirAsia such as flight cancellation, decrease in demand, loss of new customers, and paying huge amounts of refunds. AirAsia used several ways such as controlling the operational cost, exploring new business, carrying out promotions, and applying for bank loans and weighing proposals. As a result, AirAsia’s financial problems would be solved by reducing operational costs and increasing the profit from other businesses.

AIR PASSENGERS’ RIGHTS IN THE EUROPEAN UNION

During the age of mass tourism, legislation is necessary to cover the rights and obligations of both passengers and airlines. Air passengers’ rights are enshrined in specific laws that support travelers and provide for protection and compensation when people face flight disruptions. These rules may differ depending on the region. The main problem in this field is that many people are unaware that the law is on their side and even passenger rights exist. Experience shows that 85% of air passengers are unaware of their rights. The legal basis of the European Union air passengers’ rights is Articles 91 and 100 of the Treaty on the Functioning of the European Union (TFEU). Regulation (EC) No 261/2004 of the European Parliament and of the Council of 11 February 2004 establish common rules on compensation and assistance to passengers in the event of denied boarding and of cancellation or long delay of flights. Key words: passenger rights, flight delay; flight cancellation; overbooked flight; missed connecting flight; airline strike; delayed, lost, or damaged baggage.

An LP based approximate dynamic programming model to address airline overbooking under cancellation, refund and no-show

In this paper we simultaneously address four constraints relevant to airline revenue management problem: flight cancellation, customer no-shows, overbooking, and refunding. We develop a linear program closely related to the dynamic program formulation of the problem, which we later use to approximate the optimal decision rule for rejecting or accepting customers. First, we give a novel proof that the optimal objective function of this linear program is always an upper bound for the dynamic program. Secondly, we construct a decision rule based on this linear program and prove that it is asymptotically optimal under certain circumstances. Finally, using Monte Carlo simulation, we demonstrate that, numerically, the result of the linear programming policy presented in this paper has a short distance to the upper bound of the optimal answer, which makes it a fairly good approximate answer to the intractable dynamic program.

A Hybrid Model for Aircraft Type Determination Following Flight Cancellation

There are several factors that need to be considered in fleet management when it is necessary to resolve disturbances which necessitate aircraft re-assignment due to flight cancellations, making this a multiple-criteria decision-making problem. A change in the type of aircraft assigned can lead to additional alterations as well as directly affecting connecting flights and interconnected schedules serving specific flight segments. Decision-making is crucial and involves the consideration of complex cost effects, with possible disruptive actions evaluated according to the priorities of airline management and the available resources. Airline managers require a practical and flexible tool to help them make appropriate decisions in a rapidly changing and highly competitive environment. Differing from prior studies using mathematical programming, we propose a hybrid model based on the decision-making trial and evaluation laboratory method and the concepts of analytic network process (DANP) to aid in the decision-making process. We also recommend using the VIKOR method to select the most appropriate alternatives, with the corresponding weights obtained using the DANP method. The efficiency and effectiveness of the proposed method is demonstrated by testing it on a real-world flight cancellation case and in consultation with experts. The results show that this hybrid model is an effective resource that airline managers can use to address and resolve aircraft re-assignment irregularities.