考虑室内呼吸暴露风险的人群引流控制策略研究

Journal article (2022)

Authors

Benbu Liang System Engineering - TPM , Wuhan University of Technology
Kefan Xie Wuhan University of Technology
C.N. van der Wal System Engineering - TPM
Jia Liu Zhongnan University of Economics and Law
Research Group
System Engineering (TPM) (TU Delft)
Copyright: © 2022 Benbu Liang, Kefan Xie, C.N. van der Wal, Jia Liu
DOI: https://doi.org/10.16265/j.cnki.issn1003-3033.2022.05.0842
More Info
expand_more

Published Date

2022

Language

Chinese

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Technology, Policy and Management

Department

Multi Actor Systems

Research Group

System Engineering

Abstract

In order to explore impacts of crowd intervention strategies on indoor respiratory exposure risks during major pandemics, a variety of crowd motion scenarios were established in general indoor conditions based on improved pedestrian dynamics model and respiratory infection probability model. Then, multi-agent simulation technology was utilized to simulate impacts of strategies, including protection optimization, pedestrian flow optimization and route optimization, on the exposure risks. The results show that indoor respiratory exposure risks are mainly determined by total pedestrian flow, individuals’ stay length, movement route planning and duration of stay in contaminated areas. The carryover effect will be formed due to pedestrians’ obedience behavior of social distancing, which will further increase exposure time to contaminated areas. The lower pathogen permeability of masks, and the greater space ventilation are, the lower infection probability the crowd will face.

Files

Crowd_intervention_strategies_... (pdf)
(pdf | 4.96 Mb)
Unknown license