考虑室内呼吸暴露风险的人群引流控制策略研究

doi:10.16265/j.cnki.issn1003-3033.2022.05.0842

中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (5): 14-20.doi: 10.16265/j.cnki.issn1003-3033.2022.05.0842

• 安全社会科学与安全管理 • 上一篇下一篇

考虑室内呼吸暴露风险的人群引流控制策略研究

梁本部¹^,²(), 谢科范¹^,^**(), VAN DER WAL Natalie², 刘嘉³

¹ 武汉理工大学管理学院,湖北武汉 430070
² 代尔夫特理工大学技术政策与管理学院,荷兰代尔夫特 2628 BX
³ 中南财经政法大学信息与安全工程学院,湖北武汉 430073

收稿日期:2021-12-14 修回日期:2022-03-05 出版日期:2022-08-17 发布日期:2022-11-28
通讯作者: 谢科范
作者简介:
梁本部 (1992—),男,山东济宁人,博士研究生,研究方向为风险管理、人群疏散和建模仿真等。E-mail: liangbenbu@whut.edu.cn。
VAN DER WAL Natalie, 副教授
刘嘉, 副教授
基金资助:
国家自然科学基金面上项目资助(72071212); 武汉研究院开放性课题重点项目(IWHS20201002); 国家留学基金委资助(202106950053)

Crowd intervention strategies considering indoor respiratory exposure risks

LIANG Benbu¹^,²(), XIE Kefan¹^,^**(), VAN DER WAL Natalie², LIU Jia³

¹ School of Management, Wuhan University of Technology, Wuhan Hubei 430070, China
² Faculty of Technology, Policy and Management, Delft University of Technology, Delft 2628 BX, Netherlands
³ School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan Hubei 430074, China

Received:2021-12-14 Revised:2022-03-05 Online:2022-08-17 Published:2022-11-28
Contact: XIE Kefan

摘要/Abstract

摘要：

为明确重大疫情中人群引流控制策略对室内呼吸暴露风险的影响,基于改进的行人动力学模型和呼吸传染概率模型,构建一般室内情况下人群运动多种场景,借助多智能体仿真技术,模拟防护优化策略、流量优化策略和路线优化策略对呼吸暴露风险影响。研究结果表明:室内呼吸暴露风险主要取决于行人总流量、个体停留时间、运动路径规划和污染区域持续时间;在行人社交距离遵循行为方面,个体因必须保持设定的物理距离而形成延滞效应,这会进一步增加暴露于污染区域时间;口罩病原体渗透率越低、空间通风量越大,群体呼吸传染概率越小。

关键词: 室内呼吸, 呼吸暴露风险, 人群引流控制策略, 呼吸传染, 行人动力学, 场景仿真

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

梁本部, 谢科范, VAN DER WAL Natalie, 刘嘉. 考虑室内呼吸暴露风险的人群引流控制策略研究[J]. 中国安全科学学报, 2022, 32(5): 14-20.

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.

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参考文献 15

[1]	XIE Kefan, LIANG Benbu, DULEBENETS M A, et al. The impact of risk perception on social distancing during the COVID-19 pandemic in China[J]. International Journal of Environmental Research & Public Health, 2020, 17(17): DOI: 10.3390/ijerph17176256. doi: 10.3390/ijerph17176256
[2]	MORAWSKA L, TANG J W, BAHNFLETH W, et al. How can airborne transmission of COVID-19 indoors be minimized?[J]. Environment International, 2020, 142: DOI: 10.1016/j.envint.2020.105832. doi: 10.1016/j.envint.2020.105832
[3]	戢晓峰, 吴亚欣, 毛润彩, 等. 突发公共卫生事件下公交暴露风险辨识方法:以深圳应对新型冠状病毒肺炎为例[J]. 中国安全科学学报, 2021, 31(2): 89-98. doi: 10.16265/j.cnki.issn 1003-3033.2021.02.013
	JI Xiaofeng, WU Yaxin, MAO Runcai, et al. Identification method of bus exposure risk under public health emergencies: taking Shenzhen's fight against COVID-19 as an example[J]. China Safety Science Journal, 2021, 31(2):89-98. doi: 10.16265/j.cnki.issn 1003-3033.2021.02.013
[4]	贾飞, 孟学雷, 贾宝通, 等. 突发公共卫生事件下高速铁路客流分配研究[J]. 中国安全科学学报, 2021, 31(6):153-160. doi: 10.16265/j.cnki.issn 1003-3033.2021.06.020
	JIA Fei, MENG Xuelei, JIA Baotong, et al. Research on passenger flow assignment for high-speed railway under public healthEmergencies[J]. China Safety Science Journal, 2021, 31(6):153-160. doi: 10.16265/j.cnki.issn 1003-3033.2021.06.020
[5]	HARWEG T, BACHMANN D, WEICHERT F. Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment[J]. Journal of Public Health, 2021: DOI: 10.1007/s10389-021-01489-y. doi: 10.1007/s10389-021-01489-y
[6]	VUORINEN V, AARNIO M, ALAVA M, et al. Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors[J]. Safety Science, 2020, 130: 1-23.
[7]	郭云龙. 基于SIR模型的机动车内传染病传播研究[J]. 中国安全科学学报, 2021, 31(1):173-178. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.025
	GUO Yunlong. Research on transmission of infectious diseases in motor vehicles based on SIR model[J]. China Safety Science Journal, 2021, 31(1):173-178. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.025
[8]	HELBING D, FARKAS I, VICSEK T. Simulating dynamical features of escape panic[J]. Nature, 2000, 407: 487-490. doi: 10.1038/35035023
[9]	XIE Kefan, LIANG Benbu, SONG Yu, et al. Analysis of walking-edge effect in train station evacuation scenarios: a sustainable transportation perspective[J]. Sustainability, 2019, 11(24): DOI: 10.3390/su11247188. doi: 10.3390/su11247188
[10]	李绥, 陈雨萌, 石铁矛, 等. 面向大气防疫的城市公共空间呼吸暴露风险评价[J]. 城市规划, 2020, 44(8):21-32.
	LI Sui, CHEN Yumeng, SHI Tiemao, et al. Risk assessment of respiratory exposure in urban public space for air epidemic prevention[J]. Spatial Planning, 2020, 44(8):21-32.
[11]	RONCHI E, LOVREGLIO R. EXPOSED: an occupant exposure model for confined spaces to retrofit crowd models during a pandemic[J]. Safety Science, 2020, 130: 1-8.
[12]	国家卫生健康委办公厅,国家中医药管理局办公室. 新型冠状病毒肺炎诊疗方案(试行第8版修订版)[Z]. 2021-04-14.
[13]	LOH N, TAN Yanni, TACULOD J, et al. The impact of high-flow nasal cannula (HFNC) on coughing distance: implications on its use during the novel coronavirus disease outbreak[J]. Canadian Journal of Anesthesia, 2020, 67(7): 893-894. doi: 10.1007/s12630-020-01634-3
[14]	DEREK C, AKL E A, DUDA S, et al. Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis[J]. The Lancet, 2020, 395(10242):1973-1987. doi: 10.1016/S0140-6736(20)31142-9
[15]	PAN Yixuan, DARZI A, KABIRI A, et al. Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States[J]. Scientific Reports, 2020, 10(1): 1-9. doi: 10.1038/s41598-019-56847-4

考虑室内呼吸暴露风险的人群引流控制策略研究

Crowd intervention strategies considering indoor respiratory exposure risks

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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