网约车案件积分预警模型构建及应用

Construction and Application of Integral Early Warning Model on Online Car-hailing

积分预警模型,是依托大数据从实战角度出发通过积分赋权评估的网络警务模式。阐述了积分预警模型的原理,以积分预警模型对网约车案件的预防为例,通过设置车辆信息、车主信息、行程轨迹、运营时间、乘客信息和其他异常信息等预警要件,构建了网约车案件防治的积分预警模型,并根据具体实例,展现积分预警模型的应用及在治安预防中的优势和发展前景。

The integral early warning model is a network policing model based on the Big Data and from the perspective of actual combat through integral weighting evaluation.This paper expounds the principle of the integral early warning model.Taking the prevention of online car-hailing cases as an example,the integral early warning model is constructed by setting the warning elements such as vehicle information,owner information,travel trajectory,operation time,passenger information and other abnormal information.According to specific examples,the application of the integral early warning model and its advantages and development prospects of public security prevention are shown.