A risk analysis methodology for the use of crowd models during the Covid-19 pandemic
Ronchi, Enrico LU
; Scozzari, Rugiada
and Fronterrè, Michele
(2020)
In LUTVDG/TVBB
- Abstract
- Pandemics such as Covid-19 have posed a set of questions concerning safe space usage given the risk of virus transmission in confined and open spaces. In this context, this report presents a risk analysis methodology for the use of crowd modelling tools as an aid to assess safety in confined and open spaces. Crowd models can be used to investigate people movement in the built environment, thus they have a great potential for the performance of proximity analysis. The report presented here addresses first the psychological and physical aspects linked to physical distancing (also called social distancing). Given the limited current knowledge on human behaviour and space usage during pandemics, the changes needed in crowd modelling tools to... (More)
- Pandemics such as Covid-19 have posed a set of questions concerning safe space usage given the risk of virus transmission in confined and open spaces. In this context, this report presents a risk analysis methodology for the use of crowd modelling tools as an aid to assess safety in confined and open spaces. Crowd models can be used to investigate people movement in the built environment, thus they have a great potential for the performance of proximity analysis. The report presented here addresses first the psychological and physical aspects linked to physical distancing (also called social distancing). Given the limited current knowledge on human behaviour and space usage during pandemics, the changes needed in crowd modelling tools to appropriately represent people movement are listed. This includes issues associated with modifications of the fundamental relationships between the key people movement variables (speed/flow vs density), and issues linked with interactions between pedestrians (e.g. collision avoidance, queuing mechanisms, route choice). Suggestions for new crowd modelling outputs are provided in order to enhance their use during pandemics. In addition, practical solutions concerning space usage are presented in light of the assessment of human safety through a risk evaluation based on proximity analysis and/or exposure assessment. This is deemed to help identifying design and management solutions to decrease the risk of virus transmission. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/73f845d2-1a9d-432f-a8a8-63969c5b78ad
- author
- Ronchi, Enrico
LU
; Scozzari, Rugiada
and Fronterrè, Michele
- organization
- publishing date
- 2020-10-28
- type
- Book/Report
- publication status
- published
- subject
- keywords
- crowd modelling, Covid-19, pedestrian movement, virus transmission, evacuation, pedestrian planning, coronavirus
- in
- LUTVDG/TVBB
- issue
- 3235
- pages
- 48 pages
- publisher
- Lund University, Department of Fire Safety Engineering
- report number
- 3235
- language
- English
- LU publication?
- yes
- id
- 73f845d2-1a9d-432f-a8a8-63969c5b78ad
- date added to LUP
- 2020-10-28 15:14:51
- date last changed
- 2020-11-17 10:51:08
@techreport{73f845d2-1a9d-432f-a8a8-63969c5b78ad,
abstract = {{Pandemics such as Covid-19 have posed a set of questions concerning safe space usage given the risk of virus transmission in confined and open spaces. In this context, this report presents a risk analysis methodology for the use of crowd modelling tools as an aid to assess safety in confined and open spaces. Crowd models can be used to investigate people movement in the built environment, thus they have a great potential for the performance of proximity analysis. The report presented here addresses first the psychological and physical aspects linked to physical distancing (also called social distancing). Given the limited current knowledge on human behaviour and space usage during pandemics, the changes needed in crowd modelling tools to appropriately represent people movement are listed. This includes issues associated with modifications of the fundamental relationships between the key people movement variables (speed/flow vs density), and issues linked with interactions between pedestrians (e.g. collision avoidance, queuing mechanisms, route choice). Suggestions for new crowd modelling outputs are provided in order to enhance their use during pandemics. In addition, practical solutions concerning space usage are presented in light of the assessment of human safety through a risk evaluation based on proximity analysis and/or exposure assessment. This is deemed to help identifying design and management solutions to decrease the risk of virus transmission.}},
author = {{Ronchi, Enrico and Scozzari, Rugiada and Fronterrè, Michele}},
institution = {{Lund University, Department of Fire Safety Engineering}},
keywords = {{crowd modelling; Covid-19; pedestrian movement; virus transmission; evacuation; pedestrian planning; coronavirus}},
language = {{eng}},
month = {{10}},
number = {{3235}},
series = {{LUTVDG/TVBB}},
title = {{A risk analysis methodology for the use of crowd models during the Covid-19 pandemic}},
url = {{https://lup.lub.lu.se/search/files/85897592/A_risk_analysis_methodology_for_the_use_of_crowd_models_during_the_Covid_19_pandemic.pdf}},
year = {{2020}},
}