论文标题
使用基于选择的资源分配模型来对抗扒手
Fighting Pickpocketing using a Choice-based Resource Allocation Model
论文作者
论文摘要
受欧洲抗击有组织犯罪的行动的启发，我们开发了一种基于选择的资源分配模型，该模型可以帮助决策者减少盗贼尝试的数量。在此模型中，政策制定者需要分配有限的预算，而不是本地和中央保护资源以及潜在的扒手位置，同时牢记盗贼对潜在扒手位置的偏好。我们证明，最佳预算分配是（i）盗贼对保护资源的敏感性以及（ii）潜在扒手位置的最初吸引力的敏感性。通过数值实验，我们说明了该最佳预算分配如何针对其他各种预算分配，这是由该领域的政策制定者提出的。
Inspired by European actions to fight organised crimes, we develop a choice-based resource allocation model that can help policy makers to reduce the number of pickpocket attempts. In this model, the policy maker needs to allocate a limited budget over local and central protective resources as well as over potential pickpocket locations, while keeping in mind the thieves' preferences towards potential pickpocket locations. We prove that the optimal budget allocation is proportional in (i) the thieves' sensitivity towards protective resources and (ii) the initial attractiveness of the potential pickpocket locations. By means of a numerical experiment, we illustrate how this optimal budget allocation performs against various others budget allocations, proposed by policy makers from the field.
