A STOCHASTIC DYNAMIC PROGRAMMING MODEL OF POLICE RESOURCE ALLOCATION FOR CRIME CONTROL

In this paper, we developed a non-homogeneous Poisson process-based stochastic dynamic programming model for efficient allocation of police resources with precision and effective crime control. Another important model developed alongside the stochastic dynamic programming model was the optimal decision model for allocating police resources to regions with probabilities of intercepting crimes. The two developed models were applied to crime and logistics data from Area Command, Enugu for optimal resource allocation. From this work, we conclude that for effective crime prevention and control, Area Command should allocate ten (10) patrols to the five regions of interest in this order: to arrive at the optimal allocation of scarce resources for effective crime interception and control.