2023年5月15日上午，现代供应链管理研究院第80期学术论坛在明哲楼326如期举行。论坛主讲人是新加坡国立大学运筹中心博士后研究员赵越博士，其报告题目为“Proactive Policing: A Resource Allocation Model for Crime Prevention with Deterrence Effect”。

赵博士在分享过程中与观众进行了细致交流，解答了观众提出的疑问。未来，我院会继续加强高质量科研交流平台建设，促进领域内学者间的交流讨论，从而推动相关研究的发展。

【摘要】

This paper addresses the issue of police resource allocation across multiple locations with the objective of minimizing the overall cost of potential crimes. In contrast to previous literature that concentrates on reactive police tasks such as shortening police response times, we present a proactive approach that emphasizes crime prevention from deterrence. To account for the deterrence effect of police resources on crime, we adopt the multinomial logit model to calibrate the distribution of crime locations. Our model sheds light on the two facets of the deterrence effect in proactive policing---the diffusion of crime control and the displacement of crimes---in criminology and economics related to modern crime patterns.  We also investigate the structural properties of our problem and its relationship to mixture-of-logits assortment optimization. Furthermore, we provide reformulations for mixed-integer linear/conic programs that can be solved directly by conventional optimization software. Finally, we showcase the efficacy of our model by presenting a data-driven case study on the allocation of surveillance cameras in New York City.

【个人简介】

赵越博士目前就职于新加坡国立大学运筹中心，本科毕业于南京大学数学系，博士毕业于新加坡国立大学。他的研究兴趣主要有：（1）鲁棒机器学习、可信任机器学习（2）数据驱动的优化模型和鲁棒优化，以及其在交通管理、智慧城市、收益管理等领域的应用。他的研究成果已在人工智能和管理学的顶级期刊和会议上发表，如CVPR、TRB、IJOC等。

撰稿人：刘昱含

审核人：张颖