事件解决的预测模型

Hugh McGowan
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引用次数: 6

摘要

警方传统上使用动机模型来识别和预测劫持人质者或被阻拦者的行为。然而,动机并不能很好地预测事件的解决。本文提出了一个上下文模型,为预测这些情况的结果提供了更大的潜力。解释了该模型的组成部分,并简要概述了变量的统计分析。本文将检查两个案例研究,以展示如何使用三个独立变量(上下文、遏制和对话)来更准确地预测事件解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Prediction Model for Incident Resolution
ABSTRACT The police have traditionally used a motivational model to identify and predict the behavior of hostage-takers or barricaded persons. However, motive has been found to be a poor predictor of incident resolution. This essay presents a contextual model that offers greater potential for predicting the outcome of these situations. The components of this model are explained and a brief overview of the statistical analysis of the variables is given. Two case studies are examined to show how three independent variables (context, containment and conversation) can be used to predict the incident resolution with greater accuracy.
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