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The impact of infection risk on customers’ joining strategies · Study

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ArticleThe impact of infection risk on customers’ joining strategies

‪Yael Perlman‬‏2021

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Articlegreen2021

The impact of infection risk on customers’ joining strategies

‪Yael Perlman‬‏ · Uri Yechiali

15 citations·0/0 files stored·Safety Science

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Advanced Queuing Theory Analysis COVID-19 epidemiological studies Evacuation and Crowd Dynamics

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References

1969The Regulation of Queue Size by Levying Tolls 2003To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems 1971On Optimal Balking Rules and Toll Charges in the GI/M/1 Queuing Process 1972Customers' Optimal Joining Rules for the GI/M/s Queue 2013A retrial system with two input streams and two orbit queues 2020Reducing risk of infection – The COVID-19 queueing game 2014The Israeli queue with retrials

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2022Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model 2025Queueing management for reducing the overlaps of customers in service systems

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Details

Year2021

Typearticle

Published2021-02-21

VenueSafety Science

ISSN-L0925-7535

Languageen

Citations15

Files0 public / 0

ShelfAdvanced Queuing Theory Analysis

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doi10.1016/j.ssci.2021.105194

openalex_workW3131958978

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