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The virus 2019-nCoV rapidly crossed the globe in the first quarter of 2020, and the global civil aviation industry contributed to the spread of the virus. The aircraft deplaning process is one of the critical stages of the spread of infectious diseases and merits careful research accordingly. However, little effort has been made to tailor the civil aircraft deplaning process to the existence of patients with severe acute airborne disease. In this study, we explore a mixed patient-health pedestrian deplaning flow from a Boeing 737-300's with a full economy-class layout as per the virus spread dynamics during the process. We develop feasible deplaning management strategies that can reduce the inflection risk to the healthy passengers during the deplaning process. We then quantitatively compare the deplaning process before and after adopting the proposed strategies. The numerical results show that the proposed strategies effectively reduce the risk of infection during the deplaning process but sacrifice deplaning efficiency. We assert that health outweighs efficiency, and find that the proposed strategy may thus have practical value and potentially be of use to administrators. [ABSTRACT FROM AUTHOR]

In China, training schools are ubiquitous, where heterogeneous pedestrian flow (which consists of adults and children) widely occurs during the after-class period. In this paper, we develop a fine grid cellular CA model to describe the pedestrian behaviors (e.g., pick-up behavior, searching behavior, matching behavior, waiting behavior, leading behavior, and following behavior) at a training school during the after-class period and explore the effects of the special behaviors on each pedestrian's movement in and around a classroom. To describe the heterogeneous pedestrian flow accurately, (i) some questionnaire surveys are designed to extract some features of adult's and child's movement, and (ii) some video experiments are conducted to estimate/calibrate some parameters of interest in the proposed model. Finally, some strategies are designed to enhance the evacuation efficiency and the operational efficiency of training school. The numerical results indicate that the proposed model can reasonably match with reality, and the proposed strategies can enhance the evacuation efficiency and the operational efficiency of training school. The results can help the administrators to effectively manage the pedestrian evacuation at training school during the after-class period. [ABSTRACT FROM AUTHOR]