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The unreliability of statistics of crime recorded by the police has been the subject of much comment over the years. The new National Crime Recording Standard represents an attempt to overcome recording variation, provide a ‘victim focus’ and allow comparisons in forces' performance. A consequence has been a significant increase in bureaucracy and audit systems that may have only a modest effect on the reliability of the statistics.

Purpose – Statistics about the level of crime continue to attract public and political attention but are often presented in conflicting ways. In England and Wales, police-recorded crimes are no longer considered “national statistics” and, instead, the crime survey of England and Wales (CSEW) is used. However, it is not clear why partial population data (e.g., police-recorded crime) are considered less reliable or valid for measuring temporal crime trends in society than inferential statistical estimation models that are based on samples such as CSEW. This is particularly the case for approximating rare events like high-harm violence and specific harmful modus operandi (e.g., knife crime and firearms). In this chapter, the authors cross-reference victim survey and police-recorded data to determine similarities and contradictions in trends.

Methods – Using police data and CSEW estimates, the authors contrast variance and logarithmic trend lines since 1981 across a range of data categories and then triangulate the results with assault records from hospital consultations.

Findings – Change in crime rates in recent years is neither as unique nor extreme as promulgated in media coverage of crime. Moreover, analyses show conflicting narratives with a host of plausible but inconclusive depictions of the “actual” amount of crime committed in the society. The authors also conclude that neither source of data can serve as the benchmark of the other. Thus, both data systems suffer from major methodological perils, and the estimated crime means in CSEW, inferred from samples, are not necessarily more valid or accurate than police-recorded data (particularly for low-frequency and high-harm crimes). On the other hand police-recorded data are susceptible to variations in recording practices. As such, the authors propose a number of areas for further research, and a revised taxonomy of crime classifications to assist with future public interpretations of crime statistics.

Originality – There is much public and academic discourse about different sources of crime measurement yet infrequent analysis of the precise similarities and differences between the methods. This chapter offers a new perspective on long-term trends and highlights an issue of much contemporaneous concern: rising violent crime.

This paper aims to estimate the effects of gun possession arrests made by a specialized, proactive police patrol unit in the Houston Police Department (HPD).

Time series analyses are used to estimate the effects of weekly gun possession arrests on weekly counts of gun crimes in Houston, TX. Models isolate the effects of arrests made by the proactive patrol unit from gun possession arrests made by other HPD officers.

Citywide and beat‐level analyses show that the proactive unit made meaningful contributions to existing levels of illegal possession arrests. Time series analyses using weekly data show that these additional arrests are associated with significant declines in offences committed with guns. Findings support existing evidence that shows police can affect serious crimes by targeting firearms that are illegally possessed and carried.

The analysis can not precisely determine whether additional patrol presence or arrests are the precise mechanisms that might be influencing gun crimes.

The findings are consistent with existing evidence and suggest that focused police work to seize illegally possessed firearms from the streets and arrest those in illegal possession of firearms will impact offences committed with firearms.

The analysis extends existing work that tests the effects of proactive patrol activities on offences committed with firearms. The analysis is distinct from existing research on this topic because it estimates the effects of gun possession arrests rather than the effects of gun seizures.

The purpose of this paper is to use Klinger's theory of negotiated order to examine whether district crime and deviance levels exert influence on levels of police cynicism towards district residents. A secondary purpose is to discuss the policy implications for the proposed relationship between district crime and police cynicism.

Interviews from the Project on Policing Neighborhood (POPN) and patrol district crime data were used to study whether crime and deviance levels exert influence on police cynicism of district residents (n=574). It was hypothesized that officers would be more cynical of citizens in districts with higher rates of violent crime compared with their colleagues assigned to districts with lower rates of violent crime.

The results of OLS regression analyses indicate that district violent crime rate was related to police cynicism and in the direction hypothesized, controlling for both individual and occupational covariates. Officers with more experience were also found to have lower levels of cynicism.

Items used to construct the measure of police cynicism were adapted from the POPN survey data set which asked general questions about officer perceptions of district residents. Further research and better measures are necessary in order to examine the determinants of police cynicism with implications for explaining behavior. Findings from the study might be used by policymakers in terms of police assignment and deployment to high crime areas.

This is the first empirical attempt at examining Klinger's theory of social ecology. The study incorporates a policy argument based on the theoretical precepts and the results from the data analysis.

The purpose of the study is to examine gun violence prevention practices among urban police in the USA, assessing their scope, effectiveness, limitations, and impacts.

A national survey was conducted with police agencies serving cities of 100,000 or more people.

Strategies used most frequently and rated as most effective include targeted efforts focussed on high‐risk places and groups, as well as multi‐agency problem‐solving efforts, particularly those involving federal authorities. However, most agencies make limited use of proactive strategies to reduce gun crime, and there are substantial gaps in the enforcement of many gun laws. Results also suggest that gun crime is lower in places where police engage in more intensive gun‐related enforcement and prevention efforts.

The survey focussed only on large US cities. Implementation of the strategies could not be examined in detail, and assessments of the effectiveness of strategies reflect the views of practitioners. There is a need for more in‐depth research on gun‐related enforcement and prevention practices, their effectiveness, and the organizational and environmental factors that facilitate or hinder them.

The study highlights strategies that should be given priority consideration in policy decisions. The findings also suggest that police efforts to address gun crime can be enhanced considerably – and that doing so may produce demonstrable reductions in gun crime. Further examination of policy changes necessary to facilitate these efforts is warranted.

This study represents the first national survey of gun violence reduction efforts by police in the USA.

Empirical research suggests that traffic enforcement is the most common type of proactive activity police officers engage in on a daily basis. Further, agencies often use traffic enforcement to achieve both traffic safety and crime control. Given these goals, the purpose of this paper is to investigate whether (and to what extent) officers are accurately targeting their proactive traffic enforcement with crime and vehicle crashes in two agencies.

The study examines traffic enforcement patterns in two agencies to see whether proactive traffic enforcement aligns spatially with crime and vehicle crashes. This study employs negative binomial regression models with clustered standard errors to investigate this alignment at the micro-spatial level. Key variables of interest are measured with police calls for service data, traffic citation data and vehicle crash data from two law enforcement jurisdictions.

High levels of spatial association are observed between traffic accidents and crime in both agencies, lending empirical support to the underlying theories of traffic enforcement programs that also try to reduce crime (i.e. “DDACTS”). In both agencies, traffic accidents also appear to be the most prominent predictor of police proactive traffic enforcement activities, even across different times of day. However, when vehicle crashes are accounted for, the association between crime and traffic stops is weaker, even during times of day when agencies believe they are using proactive traffic enforcement as a crime deterrent.

No prior study to authors knowledge has examined the empirical association between police proactive traffic activities and crime and traffic accidents in practice. The current study seeks to fill that void by investigating the realities of traffic stops as practiced daily by police officers, and their alignment with crime and vehicle crashes. Such empirical inquiry is especially important given the prevalent use of traffic enforcement as a common proactive policing tool by police agencies to control both traffic and crime problems.

This paper aims to analyse and critique common performance indicators for the policing of organised crime, and to propose a new approach.

This paper was based on key respondent interviews with staff at an organised crime‐policing agency; literature review; analytical work and construction of a new model.

KPIs and other targets drive the policing of organised crime. Often these ultimately constitute numerical targets – amount of drugs seized; number of key nominals arrested, etc. – which are crude and which the research evidence base on the reduction or prevention of organised crime activity does not support as being suitable measures of success. Success in contemporary organised crime policing is increasingly becoming defined in terms of “harm reduction” (often at the “community level”). A new performance management framework for organised crime‐policing agencies is proposed, which is more sensitive than traditional measures to harm reduction. The proposed model comprises three components: programme logic; a pathway approach; and the use of evaluation panels.

The empirical research was only conducted in one organised crime agency and therefore provides a case study approach to performance management. The literature review suggests that the performance management framework of that agency was similar to other comparable agencies around the world, but more comparative research would be needed to confirm that. The model proposed would benefit from piloting and evaluation.

The analysis and modelling provided in this paper create the groundwork for the development of more effective performance indicators and targets in organised crime policing.

This lies in the attempt to tie business model drivers into policing that is more sensitive to reducing the adverse social outcomes of organised crime than traditional drivers that tend to create formal, rather than substantive, police interventions.

The purpose of this paper is to recognise and provide an approach to estimate the value of an institution that produces a public good to the wealth of a nation. Specifically, the authors value utilitarian justice.

The paper employs the classical economic theories of crime and shadow pricing to estimate the total economic value and shadow prices or social productivity of police and higher court deterrence. These measures are estimated using the definitions provided by Dasgupta and by re-engineering key deterrence elasticity estimates gleaned from Australian econometric studies.

The empirical findings suggest a relatively high social value for police and higher court deterrence. Notwithstanding, addressing socio-economic disadvantage is likely to prevent more subsequent offences than directing more resources to the operation of the criminal justice system.

The key limitations involve the sensitivity of the estimates to error. Further work is required on all the estimates in the model and in particular the social costs of the serious offences. The next step is to estimate the opportunity cost of supplying police and court deterrence. The cost estimate can then be combined with the estimates of social benefits to estimate a benefit-cost ratio. The model in broad terms demonstrates a way forward to estimating the economic value of and the social productivity of the criminal justice system. The provision of retributive justice is also ignored in this contribution. This requires a separate analysis.

The social implications are that there appears a way to both justify and evaluate the criminal justice system and this methodology may be applied to the operation of other public services.

The originality of this paper lies in suggesting a method to solve the valuation problem for the jointly produced public goods of the higher courts and police.

Because that the crime in a wide way impacts the life of the people in the big metropolis, researchers have treated the question from several angles. The purpose of the paper, under the umbrella of operational research, is to develop a model of the ordering of police strategies, in the fight against crime in general, according to a certain criminal demand.

For the construction of the impact matrix of the strategies under the reduction of crime rates, considering a portfolio of crimes, a questionnaire applied to specialists was used. In a second moment, defined the criteria and strategies to be ordered, the multicriteria ELECTRE IV method was used, which with the help of the J-Electre software emulated the systematized data in the impact matrix and produced the final ordering of the most efficient strategies, in the fight against crime, in the perception of decision-makers.

As a result, the research revealed that policing strategies directed at solving specific crimes are the most effective in the perception of decision-makers after the emulation of data with the ELECTRE IV method.

As research implications, it can be inferred that the use of multicriteria methods in the modeling of problems in the area of public security can contribute to rationalization of the use of the means available in the fight against crime in large cities. The research showed that it is possible to use customized policing strategies to a certain reality.

The method presented in this research is directly related to the major strategies: problem-oriented policing and hot spot policing. This method allows public safety managers to consider the possibility of combining different law enforcement strategies in each context. In this sense, the use of the multiple-criteria decision analysis (MCDA) (ELECTRE IV) method allows the evaluation of a large set of alternatives according to a set of established criteria, speeding up the process and reducing subjectivity, allowing the manager to analyze several scenarios with greater clarity and impartiality and choosing an alternative that best solves the proposed problem. The expected result is the rationalization of the available means applied in the search for the reduction of crime rates.

The customization of policing strategies, according to criminal demands, implies the efficient way to reduce criminal charges. Reducing criminal rates enables the development of the local economy, tourism and the quality of life of people by exercising their freedom to the full.

The originality lies in filling a gap in the literature with the elaboration of the impact matrix of policing strategies in reducing criminal indices, and in their associated use in ordering strategies through a multicriteria method.

The purpose of this paper is to examine the complex constellation of underlying factors between community policing and fear of crime by embracing various exogenous variables identified through accumulated empirical research. Another important purpose of the current study is to examine the association between community policing and fear of crime in the Korean context.

The data originated from a survey administrated by the Korean Institution of Criminology in the area of Seoul, South Korea, in an attempt to examine citizens’ fear of crime, perceptions of public safety and environment. Using a stratified sampling method, a total of 654 respondents were selected. Structural equation modeling was used to examine direct and indirect relationships among exogenous and endogenous variables and to test the authors’ hypothesized structural model of the citizen's fear of crime.

The current study found that the four proposed models between community policing and fear of crime were not supported in the Korean context. Neither direct nor indirect relationships between community policing and fear of crime were statistically significant. On the other hand, community policing was found to be significantly and indirectly associated with perceived risk of crime; those who more perceived community policing activities felt a greater risk of crime. A logical explanation for these findings requires understanding of the characteristics of community policing practice and the unique crime environment in South Korea.

This study shows unique characteristics in the community policing‐fear of crime nexus in Korean society in relation to the implementation of community policing, the level of fear of crime and perception of community‐based crime control.