使用基于选择的资源分配模型打击扒窃
Fighting Pickpocketing using a Choice-based Resource Allocation Model
摘要：
受欧洲打击有组织犯罪行动的启发，我们开发了一个基于选择的资源分配模型，可以帮助政策制定者减少扒手尝试的数量。在这个模型中，决策者需要在本地和中央保护资源以及潜在的扒手位置上分配有限的预算，同时牢记窃贼对潜在扒手位置的偏好。我们证明了最优的预算分配是成比例的（i）小偷对保护资源的敏感性和（ii）潜在的扒手位置的初始吸引力。通过一个数值实验，我们说明了这种最优的预算分配如何执行对其他各种预算分配，从外地的政策制定者提出的。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
