Crowd intervention strategies considering indoor respiratory exposure risks

doi:10.16265/j.cnki.issn1003-3033.2022.05.0842

Abstract

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.

Key words: indoor breathing, respiratory exposure risk, crowd intervention strategy, respiratory infection, pedestrian dynamics, scenario simulation

LIANG Benbu, XIE Kefan, VAN DER WAL Natalie, LIU Jia. Crowd intervention strategies considering indoor respiratory exposure risks[J]. China Safety Science Journal, 2022, 32(5): 14-20.

Figures/Tables 6

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场景	人群数量	开放时间/ h	停留时间/min	污染区持续时间/min	物理距离/ m	行走路线
S0	2 400	10	u (25,27)	3	0	自由活动
S1-1-1	—	—	—	2	—	—
S1-1-2	—	—	—	1	—	—
S1-1-3	—	—	—	0.5	—	—
S1-2-1	—	—	—	—	1	—
S1-2-2	—	—	—	—	1.5	—
S1-2-3	—	—	—	—	2	—
S2-1-1	2 000	—	—	—	—	—
S2-1-2	1 600	—	—	—	—	—
S2-1-3	1 200	—	—	—	—	—
S2-2-1	—	5	—	—	—	—
S2-2-2	1 200	5	—	—	—	—
S2-3-1	—	—	u (23,25)	—	—	—
S2-3-2	—	—	u (21,23)	—	—	—
S2-3-3	—	—	u (19,21)	—	—	—
S3	—	—	—	—	—	既定路线