Transitory Forecasting Methodology: Passenger/Revenue Share and Capacity Share (The S-Curve)

<p>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.</p>

Name thesis:degree_name

Master of Aeronautical Science

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Aeronautical Science

Year

2001

Author dc:creator

• Dugan, Marlene Marie

Contributors dc:contributor

• Marvin L. Smith
• Thomas Connolly
• Franklin D. Richey

• revenue share
• capacity
• s-curve
• airlines
• Aviation
• Management and Operations

Repository record dc:identifier

https://commons.erau.edu/db-theses/49

OAI identifier oai:identifier

oai:commons.erau.edu:db-theses-1063