This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical...

In this paper, we build an aggregate demand model for air passenger traffic in a hub-and-spoke network. This model considers the roles of airline service variables such as service frequency, aircraft size, ticket price, flight distance, and number of spokes in the network. It also takes into...

A model of airline hub competition is developed and applied to the United States air transportation system. Hub competition is portrayed as an n-player, noncooperative game between a set of airlines seeking to maximize profit. Airline competitors are of two types: hub carriers, who can offer...

Recent developments in solving the single airport ground holding problem use static or dynamic optimization to manage uncertainty about how airport capacities will evolve. Both static and dynamic models involve the use of scenarios that depict different possible capacity evolutions. Dynamic...

In this paper, we present a stochastic integer programming model for managing air traffic inbound to an airport when both the airport itself and its approach routes are subject to adverse weather. In the model, ground delay decisions are static, while those on rerouting are dynamic. The decision...

The impact of the SAS-Swissair strategic alliance on service quality, market concentration, and fares is assessed. Comparison of services before and after the alliance show increases in flights between the SAS and Swissair hubs, in the number of markets in which the alliance airlines offer...

We estimate relationships between the supply of state highways, measured in lane-miles, and the quantity of traffic, measured in vehicle-miles traveled, for urban counties and metropolitan areas in the state of California. The analysis employs a panel data set of annual observations for the...

This paper presents simultaneous models that predict induced travel demand and induced road investment using an array of instrument variables reflecting political, environmental, and demographic influences. From a panel data set consisting of 22 years of observations for 34 California urban...