Date of Award
7-2001
Document Type
Thesis - Open Access
Degree Name
Master of Aeronautical Science
Department
Applied Aviation Sciences
Committee Chair
Dr. Marvin Smith
Committee Member
Dr. Thomas Connolly
Committee Member
Dr. Frank Richey
Abstract
The purpose of this descriptive study was to explore the relationship between a carrier's service/capacity share and passenger share to determine the presence of the s-curve. The author is unaware of a current, accepted analysis for understanding the s-curve with any degree of reliability. Regression analysis was used to correlate service/capacity share against passenger share for domestic, United States air carriers. Carrier ranking was then added as a predicting variable to gain further insight into the correlation between service share and passenger share. It is anticipated that this study will be beneficial to airline network planners in their analysis of city pair, service share, and fleet choices.
Scholarly Commons Citation
Dugan, Marlene Marie, "Transitory Forecasting Methodology: Passenger/Revenue Share and Capacity Share (The S-Curve)" (2001). Master's Theses - Daytona Beach. 49.
https://commons.erau.edu/db-theses/49