Network SBM-DEA Analysis for Evaluating Comprehensive Efficiency and Optimal Resource Allocation in Traditional and Community Policing

This study conducted a comprehensive analysis of resource inputs and performance outcomes of traditional and community policing activities in 31 police stations under the jurisdiction of the Seoul Metropolitan Police Agency using the Network SBM-DEA model. The research applied four key Network SBM-DEA models to evaluate the efficiency of resource utilization and performance of each police station, and compared the differences between Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models to identify the flexibility and optimization potential based on the scale of operations. Particularly, by reflecting the network structure in which the outputs of traditional policing serve as inputs for community policing, this study quantitatively assessed the impact of interdependent relationships between activities on police performance. The findings provide insights into the optimal utilization of police resources and derive policy implications aimed at improving the quality of public safety services. The results highlight the need for enhancing resource allocation efficiency, flexible resource adjustments tailored to police station size and regional characteristics, and the development of customized management strategies for performance maximization. Additionally, this study suggests the necessity for in-depth evaluations of police efficiency through long-term data analysis and a multidimensional approach that includes qualitative factors.