Predictive Staffing Model for Transit Security

Abstract

Digby's security is a firm that offers security and investigation services. They assign their staffs to transit locations, monitor and report real-time crimes or incidents. However, there are so many train and metro stations, while they have limited number of staffs. To address this issue, we build predictive models to estimate when and where are more possible to have incidents so that they can assign the staffs to the right place at the right time.