{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:09:10Z","timestamp":1773097750465,"version":"3.50.1"},"reference-count":56,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2018,6,4]],"date-time":"2018-06-04T00:00:00Z","timestamp":1528070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2018,6,4]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Congestion as a consequence of the rapidly growing air traffic is one of the outstanding problems of the air transportation industry. Traffic impediment rates, having an increasing acceleration while the airport capacities have been kept constant due to several reasons, cause problems such as arrival\/departure delays, schedule interruptions, cancellations and customer dissatisfaction. In this paper, the author aims to study transitioning from a single-hub air transportation system to a multi-hub infrastructure via Monte Carlo simulation.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The current hub has reached its capacity limits for long so that the growth potential of the air transportation has been affected adversely. One of the possible remedies suggested by authorities, professionals and academics was to transform the air transportation infrastructure into a multi-hub setting. Current air traffic of the country was modeled by means of simulation. Airport capacities and performances are simulated and analyzed under different scenarios considering a potential alternative hub along with the central one. Possible delays in both hubs are studied in case of moderately increasing traffic congestion.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>As a result, decreased delay levels in the central hub are observed, whereas no delays are experienced in the potential one in all the scenarios.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This study, proposing to organize the national and international air traffic of the country while harmonizing the delay rates and increasing the passenger satisfaction, is to contribute significantly to the aviation sector companies, airliners and airport operators by shedding light on the imminent capacity issues air transportation industry is going to face.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-01-2017-0022","type":"journal-article","created":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T03:24:50Z","timestamp":1517541890000},"page":"1122-1137","source":"Crossref","is-referenced-by-count":5,"title":["Simulating air transportation networks under capacity constraints"],"prefix":"10.1108","volume":"47","author":[{"given":"Abdullah S.","family":"Karaman","sequence":"first","affiliation":[]}],"member":"140","reference":[{"issue":"2","key":"key2020093023231097200_ref001","first-page":"140","article-title":"A simulation based approach for contingency planning for aircraft turnaround operation system activities in airline hubs","volume":"11","year":"2006","journal-title":"Journal of Air Transportation"},{"issue":"5","key":"key2020093023231097200_ref003","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.jairtraman.2005.07.006","article-title":"Network competition-the coexistence of hub-and-spoke and point-to-point systems","volume":"11","year":"2005","journal-title":"Journal of Air Transport Management"},{"key":"key2020093023231097200_ref002","unstructured":"AIRBUS, S.A.S (2016), \u201cGlobal market forecast 2016-2035\u201d, Technical report."},{"key":"key2020093023231097200_ref004","volume-title":"Simulation Modeling and Analysis with Arena","year":"2010"},{"key":"key2020093023231097200_ref005","doi-asserted-by":"crossref","first-page":"53","DOI":"10.3141\/2449-06","article-title":"Estimating approach path coverage of aircraft-derived meteorological data in advanced air traffic management applications","volume":"2449","year":"2014","journal-title":"Transportation Research Record: Journal of the Transportation Research Board"},{"key":"key2020093023231097200_ref006","volume-title":"Discrete-Event System Simulation","year":"2010"},{"issue":"1","key":"key2020093023231097200_ref007","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1109\/TETC.2015.2439633","article-title":"Agent-based modeling and simulation of coordination by airline operations control","volume":"4","year":"2016","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"issue":"3","key":"key2020093023231097200_ref008","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s11066-011-9065-6","article-title":"Airport capacity and demand calculations by simulation\u2014the case of Berlin-Brandenburg international airport","volume":"12","year":"2011","journal-title":"NETNOMICS: Economic Research and Electronic Networking"},{"key":"key2020093023231097200_ref009","doi-asserted-by":"crossref","unstructured":"Burghouwt, G. 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