校园通勤行人流时空伴随分析与疫情防控策略

Spatiotemporal concomitant analysis and epidemic control strategies for commuter pedestrian flow in campus

为严防新冠肺炎(COVID-19)疫情在人员密集的高校蔓延,选取高校校园内学生流动的典型场景,构建校园内上下课行人流模型,引入时空伴随的概念,量化行人间接触导致疫情传播的风险。基于时空伴随指标,针对西南交大犀浦校区设计开放宿舍园区内的所有通道、增设不同区域间的新道路以及分批次上下课等3种校园疫情防控策略开展模拟计算。结果表明:3种方案的空间伴随指标降幅分别为12.12%、6.08%、74.02%,时间伴随指标的降幅分别为30.49%、0.16%、60.78%。同时施行3种防控方案时,空间伴随指标和时间伴随指标降幅分别为82.37%和76.63%。

In order to prevent the spread of the epidemic due to the frequent movement of students,densely populated colleges and universities are under pressure during the normalization stage of epidemic prevention and control.A typical scene of student flow in college campuses was selected,and a pedestrian flow model on campus was built in this paper.By introducing the concept of spatiotemporal concomitant,the risk of epidemic transmission caused by pedestrian-to-pedestrian contact was quantified.Based on the spatiotemporal concomitant indicators,simulation calculations were carried out for three campus epidemic prevention and control strategies in Xipu Campus of Southwest Jiaotong University,including opening all passageways in the dormitory park,designing a new road between different areas,and classes in batches.Comparing and analyzing the simulation results,it can be found that the declines of the spatial concomitant indicators of the three strategies are:12.12%,6.08%,and 74.02%,and the declines of the temporal concomitant indicators are 30.49%,0.16%,and 60.78%,respectively.When the three strategies are implemented at the same time,the declines of the spatial concomitant indicators and temporal concomitant indicators are 82.37%and 76.63%respectively.