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Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression

Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression

Hilton A. Cordoba, Russell L. Ivy
Copyright: © 2014 |Volume: 5 |Issue: 4 |Pages: 18
ISSN: 1947-9654|EISSN: 1947-9662|EISBN13: 9781466652507|DOI: 10.4018/ijagr.2014100104
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MLA

Cordoba, Hilton A., and Russell L. Ivy. "Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression." IJAGR vol.5, no.4 2014: pp.54-71. http://doi.org/10.4018/ijagr.2014100104

APA

Cordoba, H. A. & Ivy, R. L. (2014). Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression. International Journal of Applied Geospatial Research (IJAGR), 5(4), 54-71. http://doi.org/10.4018/ijagr.2014100104

Chicago

Cordoba, Hilton A., and Russell L. Ivy. "Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression," International Journal of Applied Geospatial Research (IJAGR) 5, no.4: 54-71. http://doi.org/10.4018/ijagr.2014100104

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Abstract

Modeling airline fares is quite challenging due to the constantly changing fare structure of the airlines in response to competitors, yield management principles, and a variety of political and economic changes, and has become more complex since deregulation. This paper attempts to add to the literature by providing a more in-depth look at fare structure using a multivariate approach. A total 6,200 routes between 80 primary U.S. airports are analyzed using linear and geographically weighted regression models. The results from the global models reinforce some of the expectations mentioned in the literature, while the local models provide an opportunity to analyze the spatial variation of influencing factors and predictability.

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