@article{ref1,
title="Prescriptive analytics for FIFA World Cup lodging capacity planning",
journal="Journal of the Operational Research Society",
year="2017",
author="Ghoniem, Ahmed and Ali, Agha Iqbal and Al-Salem, Mohammed and Khallouli, Wael",
volume="68",
number="10",
pages="1183-1194",
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.<p /> <p>Language: en</p>",
language="en",
issn="0160-5682",
doi="10.1057/s41274-016-0143-x",
url="http://dx.doi.org/10.1057/s41274-016-0143-x"
}