Ranking Police Administration Units on the Basis of Crime Prevention Measures using Data Envelopment Analysis and Clustering

In this paper, a novel approach has been proposed to rank police administration units on the basis of their effective enforcement of crime prevention measures using Data Envelopment Analysis (DEA) and Clustering. The proposed approach will offer an effective mechanism not only to rank police administration units but also provide an evaluation tool to monitor the implementation of crime prevention measures at various levels of police administration. The paper discusses two major phases of the proposed approach. In the first phase, clustering is used to identify the crime zones and to form homogeneous groups in crime data. In the second phase, police administration units in a particular crime zone are ranked using DEA. The effectiveness of the proposed approach has been illustrated on Indian crime data. The comparative results of DEA with clustering and DEA without clustering are also given to highlight importance of linking DEA with clustering.