基于社会力模型的地铁站微观人群传染与防控

Prevention and control of micro crowd infection in subway station based on social force model

摘要:

目的 以典型的地铁站内行人出站过程为例，探究公共场所内微观人群运动对感染过程的影响。 方法 在新型冠状病毒肺炎疫情背景下，基于社会力模型，对行人出站过程中的感染传播情况进行模拟，验证相关防控措施的有效性。 结果 在研究参数设置和假设条件下，合理设置楼梯隔挡最多能够降低约23%的感染人数，增大行人间距最多能够降低约25%的感染人数，增大行人的移动速度最多能够降低约50%的感染人数。 结论 合理的隔挡设施以及较大的行人间距与期望速度能够降低感染人数，但出站总人数的增加会降低措施的有效性。

Abstract:

Objective Taking a typical pedestrian exit process in a subway station as an example, the impact of micro crowd movement in public places on infection process was explored. Methods Based on the social force mo- del, infection transmission of pedestrians in the process of leaving the station was simulated to verify the effectiveness of relevant prevention and control measures under the background of coronavirus 2019 epidemic. Results Under the studied parameter settings and assumptions, rational setting stair barriers can reduce the number of infected people by about 23%, increasing pedestrian distance can reduce the number of infected person by about 25%, and increa-sing pedestrian moving speed can reduce the number of infected person by about 50%. Conclusion Rational barrier facilities, large pedestrian distance and expected speed can reduce the number of infected person, but the increase of the total number of person leaving station will reduce the effectiveness of the measures.