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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Dugan, Marlene Marie"],"institution":null,"degree_name":"Master of Aeronautical Science","degree_level":"Thesis - Open Access","degree_discipline":"Aeronautical Science","degree_department":null,"school":null,"contributors":["Marvin L. Smith","Thomas Connolly","Franklin D. Richey"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2001,"date_issued":"2001-07-01T07:00:00Z","date_published":"2001-07-01T07:00:00Z","updated_at":"2026-07-27T19:25:23Z","subjects":["revenue share","capacity","s-curve","airlines","Aviation","Management and Operations"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/49","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Marvin L. Smith","Thomas Connolly","Franklin D. Richey"]},{"key":"dc:creator","label":"Author","values":["Dugan, Marlene Marie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aeronautical Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Aeronautical Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["revenue share","capacity","s-curve","airlines","Aviation","Management and Operations"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/49"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["Transitory Forecasting Methodology: Passenger/Revenue Share and Capacity Share (The S-Curve)"]}]}],"canonical_facts":{"dc:contributor":["Marvin L. Smith","Thomas Connolly","Franklin D. Richey"],"dc:creator":["Dugan, Marlene Marie"],"dc:description.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.
"],"dc:identifier":["https://commons.erau.edu/db-theses/49"],"dc:subject":["revenue share","capacity","s-curve","airlines","Aviation","Management and Operations"],"dc:title":["Transitory Forecasting Methodology: Passenger/Revenue Share and Capacity Share (The S-Curve)"],"thesis:degree_discipline":["Aeronautical Science"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Aeronautical Science"]},"updated_at":"2026-07-27T19:25:23Z"}