Improving Security Checks and Passenger Risk Evaluation with Classification of Airline Passengers
Feng Wengang1,2,3(),Jiang Zhaofeifan1
1School of State Security, People’s Public Security University of China, Beijing 100038, China 2Research Centre for Civil Aviation Security, People’s Public Security University of China, Beijing 100038, China 3Police Science Postdoctoral Research Station, People’s Public Security University of China, Beijing 100038, China
[Objective] This study tries to improve the efficiency of airport security checks and conducts dynamic analysis of risk evolutions, aiming to provide better services for airline passengers. [Methods] We constrcuted an index system for civil aviation passengers based on deep learning, which determines the weight of each index through quantitative analysis. Then, we utilized system dynamics to simulate the impacts of safety management measures on passenger risks. [Results] The proposed method could precisely diverge airline passengers based on risk analysis, which could reduce the waiting time at security checks. Increasing the social safety management, security measures and response coefficient by 30%, we could reduce the passenger ricks by 61.65%, 29.87% and 29.87%, respectively. [Limitations] Our study did not include events with high confidentiality. [Conclusions] The proposed model could help airports launch differentiated security check services, and evaluate the evolutions of passenger risks.
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