Modeling the Dynamics of Phone - Bike Snatching with Mitigation Strategies in Gombe State, Nigeria

Abstract

This study investigates the dynamics of snatching incidents, particularly involving bikes and phones, in Gombe State, where such crimes  pose significant threats to public safety and security. Utilizing a comprehensive stochastic modeling approach, the research aims to  analyze the intricate interactions between criminals and their environment, considering various socio-economic factors that contribute to  the prevalence of snatching. The model developed highlights the probabilistic characteristics of these criminal activities and identifies  potential security strategies to mitigate their occurrence. The findings underscore the impact of unemployment, poverty, and income  inequality on crime rates, emphasizing the need for targeted interventions to enhance community safety. This research contributes to the  understanding of crime dynamics in Gombe State and offers a framework for policymakers to develop effective crime prevention   strategies.