Demand forecasting for domestic air transportation in Turkey

dc.authorscopusid 55769278900
dc.authorscopusid 55768131600
dc.contributor.author Sivrikaya,O.
dc.contributor.author Tunç,E.
dc.date.accessioned 2024-05-25T12:31:16Z
dc.date.available 2024-05-25T12:31:16Z
dc.date.issued 2013
dc.department Okan University en_US
dc.department-temp Sivrikaya O., Department of Management, Okan University, Tuzla, Istanbul, Turkey; Tunç E., Department of Management, Okan University, Tuzla, Istanbul, Turkey en_US
dc.description.abstract Accuracy in estimating air transport demand is a key element while an aviation company is planning its short term or long term business plan regardless of its status, being an incumbent or a startup company. Domestic Air Travel Industry in Turkey has dramatically grown in recent years especially after the deregulation which resulted in the renewal of air transportation policy in 2003. However, there is no relevant scientific research in the literature to analyze the determining factors on air travel demand for domestic market by city pair level in Turkey. A semi-logarithmic regression model is generated in order to estimate the domestic air travel demand in means of number of passengers carried per city pair. Airline passenger data of 2011 out of 42 served cities in Turkey are used to establish the model. Then, 2010 data are used to test the prediction performance of the model. Accuracy level is found to be significantly successful on estimating passenger demand for any domestic city pair. Due to its city pair basis and acceptable level of accuracy, the estimation model can be utilized in many areas of aviation industry, such as determining flight frequency on a route, forecasting the size of air passenger traffic for potential new airports or potential new routes etc. © Sivrikaya and Tunç; Licensee Bentham Open. en_US
dc.identifier.citationcount 47
dc.identifier.doi 10.2174/1874447820130508001
dc.identifier.endpage 26 en_US
dc.identifier.issn 1874-4184
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-84879147348
dc.identifier.startpage 20 en_US
dc.identifier.uri https://doi.org/10.2174/1874447820130508001
dc.identifier.uri https://hdl.handle.net/20.500.14517/2273
dc.identifier.volume 7 en_US
dc.language.iso en
dc.publisher Bentham Science Publishers en_US
dc.relation.ispartof Open Transplantation Journal en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 48
dc.subject City pair en_US
dc.subject Connection time en_US
dc.subject Deregulation en_US
dc.subject Domestic air transportation en_US
dc.subject Gravity model en_US
dc.subject Multivariate linear regression and semi logarithmic regression en_US
dc.subject Origin and destination en_US
dc.subject Travel time en_US
dc.title Demand forecasting for domestic air transportation in Turkey en_US
dc.type Article en_US

Files