Paper Search

Complex Systems and Complexity Science >

2024 , Vol. 21 >Issue 1: 35 - 42

DOI: https://doi.org/10.13306/j.1672-3813.2024.01.005

Complex Network

Modeling Analysis and Management Control of Dense Pedestrian Flow in a Closed Area Under the Outbreak of Infectious Diseases: Taking University Canteen as an Example

  • JI Xin ,
  • XU Jiaming ,
  • YANG Ailing ,
  • YU Zilan ,
  • TANG Tieqiao ,
  • JI Xin ,
  • XU Jiaming ,
  • YANG Ailing ,
  • YU Zilan ,
  • TANG Tieqiao
Expand
  • a. School of Transportation Science and Engineering; b. SHENYUAN Honors College, Beihang University, Beijing 100191, China

Received date: 2022-03-18

  Revised date: 2022-04-26

  Online published: 2024-04-26

Fold

Abstract

In order to reduce the transmission risk of closed systems in densely populated areas during outbreaks of infectious diseases, this study focuses on the first cafeteria of the Shahe Campus of Beihang University as the research scene, and proposes 12 evacuation strategies for school cafeterias where disease transmission occurs. By conducting cellular automaton simulations, the effectiveness of these control strategies is evaluated. The simulation results indicate that implementing measures such as disinfection of entrances and exits, and isolating patients before evacuation can reduce the overall infection risk by approximately 40%. These control measures not only address the issue of evacuating individuals suspected of having COVID-19 in places of congregation, but also have practical value in handling sudden situations in specific scenarios and guiding epidemic prevention efforts.

Key words： university canteen; pedestrian evacuation; cellular automata; epidemic prevention and control; management strategy

Cite this article

JI Xin , XU Jiaming , YANG Ailing , YU Zilan , TANG Tieqiao , JI Xin , XU Jiaming , YANG Ailing , YU Zilan , TANG Tieqiao . Modeling Analysis and Management Control of Dense Pedestrian Flow in a Closed Area Under the Outbreak of Infectious Diseases: Taking University Canteen as an Example[J]. Complex Systems and Complexity Science, 2024 , 21(1) : 35 -42 . DOI: 10.13306/j.1672-3813.2024.01.005

References

[1] 郑海兵.行人交通流研究综述[J].山东交通科技, 2018 (4): 27-29,40.
ZHENG H B. A review of pedestrian traffic flow research [J]. Shandong Traffic Science and Technology, 2018 (4): 27-29,40.
[2] 杨立中,方伟峰,黄锐,等.基于元胞自动机的火灾中人员逃生的模型[J].科学通报,2002,4(12):896-901.
YANG L Z, FANG W F, HUANG R, et al. A model for human escape in fire based on metacellular automata[J]. Science Bulletin,2002,4(12):896-901.
[3] 曹爱春,杨晓艇,侯旭东.Agent-CA的体育场馆人群疏散模型[J].计算机工程与应用,2013,49(24):229-232.
CAO A C, YANG X T, HOU X D. Agent-CA crowd evacuation model for stadiums [J]. Computer Engineering and Applications,2013,49(24):229-232.
[4] 杨波,陈丹丹,夏颖,等.基于GIS的CA-PSO多出口场景疏散模型研究[J].中南民族大学学报(自然科学版),2017,36(1):107-112.
YANG B,CHEN D D,XIA Y,et al. Research on CA-PSO multi-exit scenario evacuation model based on GIS[J]. Journal of Central South University for Nationalities (Natural Science Edition),2017,36(1):107-112.
[5] 周美琦,杨晓霞,张纪会,等.基于改进元胞自动机模型的地铁车厢乘客疏散模拟[J].复杂系统与复杂性科学,2021,18(3):35-44.
ZHOU M Q, YANG X X, ZHANG J H, et al. Simulation of passenger evacuation in subway cars based on improved metacellular automata model[J]. Complex Systems and Complexity Science,2021,18(3):35-44.
[6] 谢明峰,鲁义.高校教学楼火灾与人员疏散模拟研究[J].消防科学与技术,2021,40(1):85-90.
XIE M F, LU Y. Simulation study of fire and personnel evacuation in a college building[J]. Fire Science and Technology,2021,40(1):85-90.
[7] 都恩源,陈心如,韩祥临,等.高校典型建筑物学生群体应急疏散研究[J].湖州师范学院学报,2021,43(4):81-88.
DU E Y, CHEN X R, HAN X L, et al. Research on emergency evacuation of student groups in typical buildings in colleges and universities [J]. Journal of Huzhou Normal College,2021,43(4):81-88.
[8] 汪洋,朱国庆,周金炬,等.高校体育馆人员疏散模拟研究[J].消防科学与技术,2020,39(9):1215-1218.
WANG Y, ZHU G Q, ZHOU J J,et al. Simulation study of personnel evacuation in college gymnasium [J]. Fire Science and Technology,2020,39(9):1215-1218.
[9] 李建辉,麻婧,康文,等.新型冠状病毒2019-nCoV的病毒学特征、传播途径及抵抗力[J].临床医学研究与实践,2020,5(S1):3-5.
LI J H, MA J, KANG W, et al. Virological characteristics, transmission route and resistance of novel coronavirus 2019-nCoV[J]. Clinical Medicine Research and Practice,2020,5(S1):3-5.
[10] 汪剑眉,李钢.新冠肺炎非均匀感染力传播模型与干预分析[J].电子科技大学学报,2020,49(3):392-398.
WANG J M,LI G. Analysis of non-uniform infectious power transmission model and intervention for new crown pneumonia[J]. Journal of the University of Electronic Science and Technology,2020,49(3):392-398.
[11] 桑茂盛,丁一,包铭磊,等.基于新冠病毒特征及防控措施的传播动力学模型[J].系统工程理论与实践,2021,41(1):124-133.
SANG M S, DING Y, BAO M L, et al. A propagation dynamics model based on the characteristics of new coronavirus and prevention and control measures[J]. Systems Engineering Theory and Practice,2021,41(1):124-133.
[12] 喻文,邵畅志,王侃,等.基于SEIR模型的高校新冠肺炎疫情传播风险管控研究[J].武汉理工大学学报(信息与管理工程版),2020,42(4):368-372.
YU W, SHAO C Z, WANG K, et al. Study on the risk control of new crown pneumonia epidemic transmission in universities based on SEIR model[J]. Journal of Wuhan University of Technology (Information and Management Engineering Edition),2020,42(4):368-372.
[13] TANG T Q, ZHANG B T, XIE C Z. Modeling and simulation of pedestrian flow in university canteen[J]. Simulation Modelling Practice and Theory, 2019, 95: 96-111.
[14] VANDOREMALEN N, BUSHMAKER T, MORRIS D H, et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1[J]. The New England Journal of Medicine, 2020, 382(16): 1564-1567.
[15] CASANOVA L M, JEON S,RUTALA W A, et al. Effects of air temperature and relative humidity on coronavirus survival on surfaces[J]. Applied and Environmental Microbiology, 2010, 76(9): 2712-2717.
[16] CHIN A W H, CHU J T S,PERERA M R A, et al. Stability of SARS-CoV-2 in different environmental conditions[J]. The Lancet Microbe, 2020, 1(1): e10.
Options
Outlines

/

〈 〉

Copyright © 2017 Editorial Office of Complex Systems and Complexity Science
Tel.：0532-85953597 E-mail:fzkxbjb@qdu.edu.cn