Air travel choices in multi-airport markets

Multi-agent Simulation of Airline Travel Markets

This paper explores the use of a learning classifier system variant, XCS, in learning effective airline decision rules within the context of a multiagent team simulation. From this study a general approach to modeling an airline market has been developed based on a multi-agent, team-based concept. Additionally, several preliminary trials of the simulation have been executed.

The Multi-Airport Ground-Holding Problem in Air Traffic Control

In 1986, the total profits of the U.S. airline industry were of the order of $800 million, while its total delay costs due to congestion approached the figure of $2 billion. Motivated by this important problem of congestion costs and observing that ground delays are far more preferable than airborne delays, we have formulated and studied generic integer programming models in order to assign opt...

Travel Time Variability and Airport Accessibility

This paper analyses the cost of access travel time variability for air travelers. Reliable access to airports is important since it is likely that the cost of missing a flight is high. First, the determinants of the preferred arrival times at airports are analyzed, including trip purpose, type of airport, flight characteristics, travel experience, type of check-in, need to check-in luggage. Sec...

The Impact of Post-9/11 Airport Security Measures on the Demand for Air Travel

We examine the impact of post-9/11 airport security measures on air travel in the U.S. Using five years of data on passenger volume, we evaluate the effects of the implementation of baggage screening and the federalization of passenger screening on the demand for air travel. These two congressionally mandated measures are the most visible changes in airport security following the 9/11 attacks. ...

Special Considerations in Air Travel for Pregnant Women