Prescriptive analytics for FIFA World Cup lodging capacity planning
针对FIFA世界杯这类大型赛事，开发了一个优化分析框架，通过两个整数规划模型分析外国观众及其住宿需求，并应用于评估卡塔尔2022年世界杯的住宿基础设施准备情况。
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.