Research on the probability of COVID-19 infection in atrium-style hotels based on behavioral trajectory
The atrium-style hotel building is an area with high probability of respiratory infectious diseases due to the dense population and large air flow fluctuation in the atrium space.The infection probability of the tall public space buildings needs to be studied.This study selects an atrium-style hotel as the research object,based on actual measurements of the hotel's pedestrian volume and behavioral trajectories.Through regression analysis,the distribution of the hotel's pedestrian density is obtained.Using Anylogic software and substituting the Wells-Riley infection probability calculation model,the infection probability of different types of hotel population was simulated.When a single group of the accommodation group,dining group,business meeting group is infected,the infection probability is 29.3%,17.9%,36.4%respectively.When all the three groups and logistical group are jointly infected,the infection probability increases to 42.6%.Through the temporal and spatial distribution of pollutant particles,it is found that there are more pollutant particles on the third layer and standard layer within the building.Personnel crossing is positively correlated with infection probability.Design measures should be considered to reduce the infection probability in dining spaces with more streamlines cross,leisure spaces with longer stays,vertical traffic spaces.The study provides a research approach for optimizing the layout of hotel spaces in the context of personnel behavior trajectories and offers a theoretical basis for designing atrium-style hotels in cold areas combined with anti-epidemic measures.
atrium public spacetrack of behaviorWells-Riley modelpedestrian densityinfection probability
万方数据
维普
