The Use of Crowd Models for Risk Analysis During the Covid-19 Pandemic

Enrico Ronchi, Ruggiero Lovreglio, Rugiada Scozzari, Michele Fronterrè

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKapitel samlingsverkForskningPeer review

Sammanfattning

The emergence of pandemics like Covid-19 has raised important issues regarding the safe utilisation of spaces due to the potential for virus transmission in both enclosed and open built environments. This chapter explores the challenges posed by pandemics in terms of safe space utilisation, considering the potential virus transmission risks. It presents a risk analysis methodology that makes use of crowd modelling tools to assess safety in relation to pedestrian behaviour. Crowd models offer valuable insights into pedestrian movement within the built environment, making them ideal for proximity analysis. This work identifies necessary modifications to crowd modelling tools to be used during a pandemic. Specifically, suggestions are provided to enhance crowd modelling outputs and their applicability during pandemics. This chapter also presents practical solutions for space utilisation by employing a risk evaluation based on proximity analysis and exposure assessment to ensure human safety. By considering these insights, design and management solutions can be identified to effectively reduce the risk of virus transmission in indoor and outdoor settings.

Originalspråkengelska
Titel på värdpublikationModeling and Simulation in Science, Engineering and Technology
FörlagBirkhäuser
Sidor45-69
Antal sidor25
DOI
StatusPublished - 2024

Publikationsserier

NamnModeling and Simulation in Science, Engineering and Technology
VolymPart F2950
ISSN (tryckt)2164-3679
ISSN (elektroniskt)2164-3725

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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