Citation

Ghoniem A, Ali AI, Al-Salem M, Khallouli W. J. Oper. Res. Soc. 2017; 68(10): 1183-1194.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1057/s41274-016-0143-x

PMID

unavailable

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.

Language: en

Keywords

capacity planning; FIFA World Cup; optimization; prescriptive analytics