Simulation Modeling of Epidemic Risk in Supermarkets: Investigating the Impact of Social Distancing and Checkout Zone Design

Autor:	Bartosz Skorupa, Rafał Weron, Jacek Zabawa, Tomasz Antczak, Mikolaj Szurlej
Rok vydání:	2021
Předmět:	Agent-based model Decision support system Point of sale Operations research NetLogo Computer science Order (business) Distancing Simulation modeling Functional design computer.software_genre computer computer.programming_language
Zdroj:	Computational Science – ICCS 2021 ISBN: 9783030779603 ICCS (1)
DOI:	10.1007/978-3-030-77961-0_3
Popis:	We build an agent-based model for evaluating the spatial and functional design of supermarket checkout zones and the effectiveness of safety regulations related to distancing that have been introduced after the COVID-19 outbreak. The model is implemented in the NetLogo simulation platform and calibrated to actual point of sale data from one of major European retail chains. It enables realistic modeling of the checkout operations as well as of the airborne diffusion of SARS-CoV-2 particles. We find that opening checkouts in a specific order can reduce epidemic risk, but only under low and moderate traffic conditions. Hence, redesigning supermarket layouts to increase distances between the queues can reduce risk only if the number of open checkouts is sufficient to serve customers during peak hours.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fa44bd25f616c85e3d3eb779317768b9 https://doi.org/10.1007/978-3-030-77961-0_3 Zobrazit plný text záznamu