隨機感染風險下新冠肺炎疫情初期客艙旅客座位安排

Aircraft Seat Assignments with Stochastic Infection Risks in Initial Covid-19 Epidemic

本研究以新冠病毒為探討對象，針對疫情初期旅客登機僅以發燒或體溫為檢測標準，在旅客具確診不確定性下，考量隨機感染風險進行座位安排。另外，加入保持社交距離下減少之旅客感染風險，以區隔座位相鄰與間隔之不同感染風險。本研究發展一隨機狀況模式，在防疫目標須顧及最糟之風險狀況下，運用最小最大方法，最小化所有感染風險狀況中最大客艙感染風險。最後，針對高、中與低風險航班、旅客人數、橫向座位配置3-3-3、3-4-3、2-4-2之寬體機與3-3之窄體機進行多組範例測試，所得結果提供不同風險航線在不同旅客人數時座位感染風險之變化情形及其適用之機型，進而提升機艙座位防疫之效果。

In this study, we take the COVID-19 during the initial epidemic as the object. We consider stochastic infection risks to perform seat assignments because airlines only use fever or body temperature as the detection criteria for passenger boarding. In addition, we also consider the risk of infection reduced by maintaining social distance to distinguish the different risks of infection for assigning passengers to adjacent and spaced seats. We develop a stochastic scenario based model combined with the Min-Max approach to minimize the maximum risk of infection for all stochastic scenarios considering that the goal of epidemic prevention needs to take into account the worst case scenario. Numerical tests including high, medium, and low risk flights, different number of passengers, and 3-3-3, 3-4-3, and 2-4-2 configurations of wide-body aircraft and 3-3 configuration of narrow-body aircraft are performed. The test results provide variations in risks of infection and suitable types of aircrafts for different risk levels of flights for different numbers of passengers, thereby improving the effectiveness of epidemic prevention of seat assignment.