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

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.