特殊时期地铁二级分流-联防安检优化模型

恐怖分子经常将安检体系相对薄弱、人流相对密集的地铁站作为攻击的首要目标之一。本文从地铁安检流程优化和跨部门联防协作的角度出发，提出了特殊时期地铁二级分流-联防安检优化模型。结果表明，在特殊时期，通过引入身份证信息库和指纹-人脸识别系统，对乘客进行绿、橙、红三色通道分流安检，能够明显提升普通乘客的社会福利水平；当X光检测系统的准确率越低，被分流到橙色通道乘客比例越大，橙色通道中潜在袭击者比例越高时，社会福利增益越大，暴恐概率越小；在案潜逃人员识别率越高，社会福利增益越大。多部门协防反恐正向反馈越积极，进而可以刺激安防部门优化身份识别系统，直到社会福利增益为零的最优状态。

A Secondary Triage-joint Defense Optimization Model of Subway Security Screening in Special Period

The terrorists have considered the subway station as one of the primary goals of the attacks, because it always has a weak security system and relatively dense. A secondary triage-joint defense optimization model of the subway security screening in special period is put forword, based on optimizing subway security process and building joint-defense system. Results show that, in the special period, with the introduction of ID card information database and fingerprint-face recognition system (FFS), the passengers are diverted to green, orange, red channel to pass the security checks, This method can significantly improve the level of ordinary passengers social welfare. When the accuracy of the original X-ray detection system is lower, the social welfare of this system will be higher; Along with the higher proportion of the passengers diverted to the orange channel and the higher proportion of potential attackers in the orange channel, the social welfare of this system will be larger, and the probability of violent terrorism event will be smaller; When the recognition rate of recorded fugitives is higher, the greater social welfare can be gotten. The positive feedback of the joint-defense system can also stimulate the security department to optimize the identification system, until the system reaches the optimal state with the zero marginal social welfare.