Building reliable air-travel infrastructure using empirical data and stochastic models of airline networks

Ankan, M and Deshpande, V and Sohoni, M G (2012) Building reliable air-travel infrastructure using empirical data and stochastic models of airline networks. In: 52nd AGIFORS Annual Symposium and Study Group Meeting 2012, 9 October 2012, United States.

[img]
Preview

| Preview

Abstract

Flight delays have been a growing issue and they have reached an all-time high in recent years, with the airlines’ on-time performance at its worst level in 2007 since 1995. The goal of this paper is to build stochastic models of airline networks and utilize publicly available data to answer the following policy questions: Which are the bottleneck airports in the US air-travel infrastructure? How would increasing airport capacity at these airports alleviate delay propagation? What are the appropriate metrics for measuring the robustness of airline schedules? How could these schedules be made more robust? Which flight in an aircraft rotation is a bottleneck flight? The contribution of this paper is two-fold. First, we develop stochastic models, using empirical data, to analyze the propagation of delays through air-transportation networks. Second, our analysis enables us to make policy recommendations regarding managing bottleneck resources in the air-travel infrastructure

ISB Creators:
ISB CreatorsORCiD
Sohoni, M GUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Subjects: Operations Management
Depositing User: LRC ISB
Date Deposited: 30 Oct 2014 04:56
Last Modified: 30 Oct 2014 16:11
URI: http://eprints.exchange.isb.edu/id/eprint/65
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for DESI ePrint 65 Statistics for this ePrint Item