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.
( Song Li . Exploration and Construction of Security Inspection Mode Based on Passenger Behavior Classification[J]. Civil Aviation Management, 2018(10):64-66.)
( Yang Hui, Zhang Ke . Analysis of the Blacklist System in Aviation Passenger Security Check[J]. Journal of Beijing Jiaotong University (Social Sciences Edition), 2018,17(1):128-135.)
( Zhao Zhenwu, Tang Yuli, Ma Jianjun . Study on Airport Security System Based on Passenger Classification[J]. China Transportation Review, 2017,39(3):37-41.)
( Li Jie, Jin Hua, Xu Huichuan . Study on Classified Security in Domestic Civil Aviation Airport[J]. Journal of Liaoning Police College, 2017,19(5):35-41.)
( Feng Wengang, Huang Jing . Early Warning for Civil Aviation Security Checks Based on Deep Learning[J]. Data Analysis and Knowledge Discovery, 2018,2(10):46-53.)
( Cao Wanying . Research on Evolution Paths and Supervision Mechanism of the Risks of Passenger Group Conflict in the Aircraft Cabin[D]. Wuhan: Wuhan University of Technology, 2016.)
[10]
王帆 . 地铁施工安全风险建模及演化研究[D]. 武汉: 华中科技大学, 2013.
[10]
( Wang Fan . Study on the Modelling and Dynamics of Safety Risk During Tunnel Construction[D]. Wuhan: Huazhong University of Science & Technology, 2013.)
[11]
Majeske K, Lauer T . Optimizing Airline Passenger Prescreening Systems with Bayesian Decision Models[J]. Computers and Operations Research, 2012,39(8):1827-1836.
( Li Qi, Wang Hongwei . The Construction of Risk Warning Model for the Organized Smuggling Activities of People Involved in Terrorism[J]. Journal of Chinese People’s Armed Police Force Academy, 2016,32(7):17-21.)
( Gu Zhaojun, Wang Wei, Li Xiaohong . Classification of Airline Passengers Based on Latent Class Model[J]. Computer Technology and Development, 2012,22(4):182-186.)
( Su Yasong, Zhang Changlu, Liao Mengjie , et al. Safety Risk Assessment of County Mining Area Based on ANP and Probabilistic Neural Network[J]. Safety in Coal Mines, 2020,51(1):251-256.)
( Wang Xiaohui, Li Yunfei . Personal Credit Risk Assessment Based on Support Vector Machine(SVM)[J]. Journal of China West Normal University (Natural Sciences), 2017,38(2):195-198.)
( Wang Shi, Shi Yong, Wang Wanyin . Comprehensive Safety Evaluation of Tailings Reservoir Based on Fuzzy Multivariate Contact Model[J]. Gold Science and Technology, 2019,27(6):903-911.)
( Wang Yonggang, Zhang Yu, Qin Huaiyu , et al. Model for the Airport Safety Operation and Sustainable Capability and the Development Strategies Based on the System Dynamics[J]. Journal of Safety and Environment, 2016,16(4):210-215.)
( Li Kehong, Zhang Yadong, Guo Jin , et al. System Dynamics Analysis Method of Evolutionary Game Dynamics for Supervision of High-Speed Railway Operation Safety[J]. Journal of Southwest Jiaotong University, 2019,54(3):579-586.)
