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Highlights • A novel efficiency metric for air transport network with consideration of link weight. • Identification of critical airports with this new efficiency metric. • Evaluation of the robustness of eight domestic ATNs with the data of routes being operated by all the airlines. • Assessment of link weight on the evaluation of air transport networks. Abstract This paper proposes a novel efficiency metric for weighted air transport networks (ATNs), where the weight represents the connection strength between two airports concerning the number of routes, the frequency of flights, or the number of passenger seats. This metric is further used to assess and compare the weighted efficiency and robustness of eight domestic ATNs, with the data of routes being operated by all the airlines. Furthermore, the critical airports in these ATNs are identified. It is found that the link weight has a significant impact on the assessment of efficiency and robustness and ranking of critical airports. [ABSTRACT FROM AUTHOR]

The airline schedule planning problem is defined as the sequence of decisions that need to be made to obtain a fully operational flight schedule. Historically, the airline scheduling problem has been sequentially solved. However, there have already been many attempts in order to obtain airline schedules in an integrated way. But due to tractability issues it is nowadays impossible to determine a fully operative and optimal schedule with an integrated model which accounts for all the key airline related aspects such as competitive effects, stochastic demand figures and uncertain operating conditions. Airlines usually develop base schedules, which are obtained much time in advance to the day of operations and not accounting for all the related uncertainty. This paper proposes a mathematical model in order to update base schedules in terms of timetable and fleet assignments while considering stochastic demand figures and uncertain operating conditions, and where robust itineraries are introduced in order to ameliorate miss-connected passengers. The proposed model leads to a large-scale problem which is difficult to be solved. Therefore, a novel improved and accelerated Benders decomposition approach is proposed. The analytical work is supported with case studies involving the Spanish legacy airline, IBERIA. The presented approach shows that the number of miss-connected passengers may be reduced when robust planning is applied. [ABSTRACT FROM AUTHOR]

Discontinuity of air routes is a subject that has been analysed in various ways. For example, the complex network approach focuses on network robustness and resilience due to route interruptions during a relatively short period. Also seasonal interruptions of air routes are a well-documented phenomenon in the context of demand variability. However, only recently discussions emerge on the more permanent cessation of air routes, the route churn. Today, European low-cost carriers frequently apply route churn in their networks. To enable early route churn detection in these networks, a regression model is developed in which route characteristics explain the churning likelihood of individual routes. The results of the econometric analysis show that churn rates are higher during an economic downturn, within the Eastern European market, between the Eastern and the Mediterranean market and between primary airports. In addition, we find that distance and the number of seats offered have a significant negative effect on the churn likelihood. The results also show significant effects of market share, seasonality and route age on the chance of cessation. To conclude, the paper demonstrates substantial differences in churn behaviour amongst specific low-cost carriers. [ABSTRACT FROM AUTHOR]

Abstract: We present a model to describe the inbound air traffic over a congested hub and we show that this model gives a very accurate description of the traffic by comparing our theoretical distribution of the queue with the actual distribution observed at Heathrow airport. We also discuss the robustness of our model. [Copyright &y& Elsevier]

This paper explores the robustness of the one-dimensional screening model with respect to increasing the number of instruments and the number of characteristics. We study a case of nonlinear pricing (2 instruments (2 routes on which the airline provides customers with services), 2 characteristics (demand of services on these routes) and two values per characteristic (a low or a high demand of services on these routes)) and we show that none of the conclusions of the one-dimensional analysis remain valid. In particular, upward incentive compatibility constraint may be binding at the optimum. As a consequence, they may be distortion at the top of the distribution. In addition to this, we show that the optimal solution often requires bundling, while it is sometimes optimal for the monopolist to produce only one good or to exclude some buyers from the market. This means that the monopolist cannot fully apply his monopoly power and is better off selling two goods independently. We define all possible solutions in the case of a quadratic cost function for a uniform distribution of agent types and demonstrate that the range of services proposed by an airline is often larger than the corresponding range in demand. [Copyright &y& Elsevier]