Disruptive behavior by passengers delayed at airport terminals not only affects personal safety but also reduces civil aviation efficiency and passenger satisfaction. This study investigated the causal mechanisms of disruptive behavior by delayed passengers in three aspects: environmental, managerial, and personal. Data on flight delays at Shenzhen Airport in 2018 were collected and analyzed. The main factors leading to disruptive behavior by delayed passengers were identified, and an early warning model for disturbances was developed using multiple logistic regression and a back-propagation(BP) neural network. The results indicated that the proposed model and method were feasible. Compared to the logistic regression model, the BP neural network model had advantages in predicting disturbances by delayed passengers, showing higher prediction accuracy. The BP network weight analysis method was used to obtain the influence weight of each factor on behavior change of delayed passengers. The influence weight of different factors was obtained, providing an assistant decision-making method to address disruption from flight-delayed passengers.

With the rapid development of civil aviation in China, air lines and passenger throughput are increasing. Evaluating the rationality of check-in islands usage can effectively avoid overload of baggage system in some check-in islands and low utilization rate of other check-in islands during flight departure peak period, which is conducive to improving the utilization rate of resources and the efficiency of passenger ticket handling in terminal. According to Statistics of daily flight data of Shenzhen Airport in 2017, the average number of passengers in each check-in island is calculated based on the factors such as the number of flights, type of aircraft and passenger occupancy rate.According to the time rule of passengers arriving at the terminal, the arrival distribution of passengers in different time periods is obtained by weight which is the probability of passenger arrival in different periods.The number of passengers in the same period is divided by unit time, and the distribution of the number of passengers arriving at different times is obtained.The number of passengers arriving at the same unit time for each check-in island is accumulated.According to the hourly theoretical design capacity of check-in island baggage system, the rationality of single check-in island is evaluated.It provides scientific and intuitive decision-making basis for optimizing airport check-in resources during flight peak period.

Civil aviation flight delays disposal is always a tricky problem in the civil aviation. Analysis of the causes of passenger disturbance is of great significance to improve civil aviation service level and spot management capability in flight delay. Taking Shenzhen airport as an example, the 2016-2017 flight delay data in Shenzhen Airport is analyzed. The main factors that cause passengers disturbance are analyzed, which include the lengths of flight delay time, the flight departure time in schedule, current time of flight delay, crowd density of boarding gate, service quality of airline service and management ability. According to the management characteristics of the terminal building, the solution to the problem of passenger disturbance is proposed, which is good for civil aviation staff to do well in flight delay.

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