Literature DB >> 33452269

Estimating density limits for walking pedestrians keeping a safe interpersonal distancing.

I Echeverría-Huarte1, A Garcimartín1, R C Hidalgo1, C Martín-Gómez2, I Zuriguel3.   

Abstract

With people trying to keep a safe distance from others due to the COVID-19 outbreak, the way in which pedestrians walk has completely changed since the pandemic broke out1,2. In this work, laboratory experiments demonstrate the effect of several variables-such as the pedestrian density, the walking speed and the prescribed safety distance-on the interpersonal distance established when people move within relatively dense crowds. Notably, we observe that the density should not be higher than 0.16 pedestrians per square meter (around 6 m2 per pedestrian) in order to guarantee an interpersonal distance of 1 m. Although the extrapolation of our findings to other more realistic scenarios is not straightforward, they can be used as a first approach to establish density restrictions in urban and architectonic spaces based on scientific evidence.

Entities:  

Mesh:

Year:  2021        PMID: 33452269      PMCID: PMC7810874          DOI: 10.1038/s41598-020-79454-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  12 in total

1.  Simulating dynamical features of escape panic.

Authors:  D Helbing; I Farkas; T Vicsek
Journal:  Nature       Date:  2000-09-28       Impact factor: 49.962

2.  Friction effects and clogging in a cellular automaton model for pedestrian dynamics.

Authors:  Ansgar Kirchner; Katsuhiro Nishinari; Andreas Schadschneider
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-05-23

3.  Social force model for pedestrian dynamics.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1995-05

4.  How simple rules determine pedestrian behavior and crowd disasters.

Authors:  Mehdi Moussaïd; Dirk Helbing; Guy Theraulaz
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-18       Impact factor: 11.205

5.  Potential for the dynamics of pedestrians in a socially interacting group.

Authors:  Francesco Zanlungo; Tetsushi Ikeda; Takayuki Kanda
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-22

6.  The relative importance of frequency of contacts and duration of exposure for the spread of directly transmitted infections.

Authors:  Elisabetta De Cao; Emilio Zagheni; Piero Manfredi; Alessia Melegaro
Journal:  Biostatistics       Date:  2014-04-04       Impact factor: 5.899

7.  Dynamic response and hydrodynamics of polarized crowds.

Authors:  Nicolas Bain; Denis Bartolo
Journal:  Science       Date:  2019-01-04       Impact factor: 47.728

8.  The challenges of modeling and forecasting the spread of COVID-19.

Authors:  Andrea L Bertozzi; Elisa Franco; George Mohler; Martin B Short; Daniel Sledge
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-02       Impact factor: 11.205

9.  EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic.

Authors:  Enrico Ronchi; Ruggiero Lovreglio
Journal:  Saf Sci       Date:  2020-07-22       Impact factor: 4.877

10.  Monitoring physical distancing for crowd management: Real-time trajectory and group analysis.

Authors:  Caspar A S Pouw; Federico Toschi; Frank van Schadewijk; Alessandro Corbetta
Journal:  PLoS One       Date:  2020-10-29       Impact factor: 3.240

View more
  3 in total

1.  Crowd dynamics research in the era of Covid-19 pandemic: Challenges and opportunities.

Authors:  Milad Haghani
Journal:  Saf Sci       Date:  2022-05-12       Impact factor: 6.392

2.  A dynamic physical-distancing model to evaluate spatial measures for prevention of Covid-19 spread.

Authors:  Tianyi Xiao; Tong Mu; Sunle Shen; Yiming Song; Shufan Yang; Jie He
Journal:  Physica A       Date:  2021-12-25       Impact factor: 3.778

3.  Spontaneous emergence of counterclockwise vortex motion in assemblies of pedestrians roaming within an enclosure.

Authors:  Iñaki Echeverría-Huarte; Alexandre Nicolas; Raúl Cruz Hidalgo; Angel Garcimartín; Iker Zuriguel
Journal:  Sci Rep       Date:  2022-02-16       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.