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Article
Publication date: 3 November 2020

Nicholas Andrew Salimbene and Yan Zhang

The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the…

Abstract

Purpose

The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.

Design/methodology/approach

The current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).

Findings

The results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.

Research limitations/implications

There are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.

Originality/value

The most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.

Details

Policing: An International Journal, vol. 43 no. 6
Type: Research Article
ISSN: 1363-951X

Keywords

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