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• W4386388640 endingPage "129094" @default.
• W4386388640 startingPage "129094" @default.
• W4386388640 abstract "With the development of the economy and the improvement of passengers’ living standards, the passenger flow of cruise ports has sharply increased. However, the outbreak of COVID-19 has introduced more emergencies. Therefore, it is of great practical significance to investigate passenger emergency evacuation from cruise ports under COVID-19 conditions. First, the dynamic control flow model of emergency evacuation is established, and a theorem is given and proven to solve the relationship between the number of optimal evacuees and optimal short circuits. Second, an improved genetic algorithm is adopted to optimize it. Third, the boarding hall of Wusong Cruise Port is used to demonstrate the theoretical model with real data. Then the evacuation time in the solution results is found to be significantly shorted. Finally, Data-driven emergency evacuation decision for cruise ports under COVID-19 is given for policy implications." @default.
• W4386388640 created "2023-09-03" @default.
• W4386388640 creator A5002718779 @default.
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• W4386388640 date "2023-11-01" @default.
• W4386388640 modified "2023-09-30" @default.
• W4386388640 title "Data-driven emergency evacuation decision for cruise ports under COVID-19: An improved genetic algorithm and simulation" @default.
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• W4386388640 doi "https://doi.org/10.1016/j.physa.2023.129094" @default.
• W4386388640 hasPublicationYear "2023" @default.
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