Prescriptive analytics for FIFA World Cup lodging capacity planning

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.

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“…In the lodging industry, prescriptive analytics let authors in Reference [23] plan well lodging capacity before the FIFA (French: Fédération Internationale de Football Association) World Cup. They tested alternative scenarios of 32 qualifying teams considering critical foreign spectator attendance factors and comparing it with the FIFA seat allocation mechanism.…”