China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (9): 86-93.doi: 10.16265/j.cnki.issn1003-3033.2022.09.2737

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

MA Jian1(), LI Huiwen1, SONG Dandan1, CHEN Juan2,**()   

  1. 1 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031,China
    2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031,China
  • Received:2022-03-12 Revised:2022-07-11 Online:2022-10-19 Published:2023-03-28
  • Contact: CHEN Juan

Abstract:

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.

Key words: campus, pedestrian flow, spatiotemporal concomitant, AnyLogic, corona virus disease 2019 (COVID-19), epidemic prevention