Prescriptive analytics for FIFA World Cup lodging capacity planning

Ahmed Ghoniem (), Agha Iqbal Ali (), Mohammed Al-Salem () and Wael Khallouli
Additional contact information
Ahmed Ghoniem: University of Massachusetts
Agha Iqbal Ali: University of Massachusetts
Mohammed Al-Salem: Qatar University
Wael Khallouli: Qatar University

Journal of the Operational Research Society, 2017, vol. 68, issue 10, 1183-1194

Abstract: Abstract The FIFA World Cup, comprising sixty-four matches spanning an entire month, has, in recent years, been attended by about three million spectators of which over half a million are visitors requiring lodging. Planning lodging capacity for an event of this magnitude is necessary for host nations where pre-existing infrastructures are either inadequate or lacking. This paper develops an optimization analytics framework that sequentially employs two integer programming models for foreign spectator analysis and the consequent lodging requirements. The framework is applied to assess the preparedness of lodging infrastructure in Qatar for FIFA 2022.

Keywords: capacity planning; FIFA World Cup; optimization; prescriptive analytics (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1057/s41274-016-0143-x Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:68:y:2017:i:10:d:10.1057_s41274-016-0143-x

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/s41274-016-0143-x

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().