Filling a theatre in times of corona

Blom, Danny, Pendavingh, Rudi, Spieksma, Frits C. R.

arXiv.org Artificial Intelligence 

Submitted to INFORMS Journal on Applied Analytics manuscript (Please, provide the manuscript number!) Authors are encouraged to submit new papers to INFORMS journals by means of a style file template, which includes the journal title. However, use of a template does not certify that the paper has been accepted for publication in the named journal. INFORMS journal templates are for the exclusive purpose of submitting to an INFORMS journal and should not be used to distribute the papers in print or online or to submit the papers to another publication. In this paper, we introduce an optimization problem posed by the Music Building Eindhoven (MBE) to deal with the economical consequences of the COVID-19 pandemic for theatre halls. We propose a model for maximizing the number of guests in a theatre hall that respects social distancing rules, and is based on trapezoid packings. Computational results show that up to 40% of the normal capacity can be used for a single show setting, and up to 70 % in case artists opt for two consecutive performances per evening. All around the world, the corona-crisis has hit the cultural sector hard. Festivals are cancelled, orchestra's are at the brink of bankruptcy, choirs have stopped performing, and theatres are struggling to survive.

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