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Purpose – The present study provides information about the pervasiveness of human trafficking in local communities and the challenges law enforcement face identifying and responding to such problems. This chapter describes how often law enforcement agencies find cases of human trafficking and it examines the contextual and organizational factors affecting their ability to identify and respond to such cases.

Methodology – This analysis is based upon data from a national survey of local, state and county law enforcement agencies in the United States regarding human trafficking.

Findings – Law enforcement identification of trafficking cases is relatively rare, though agencies encounter victims more often than federal prosecution statistics suggest. Law enforcement is generally under-prepared to identify and respond to human trafficking, but when agencies train officers develop protocols and designate specialized personnel they are more likely to identify trafficking cases.

Implications – With the proper tools and support, local law enforcement can learn to more successfully identify and respond to human trafficking victimization.

Originality – This is the first national survey of American state and local police regarding their experiences in responding to the problems of human trafficking.

The purpose of this paper is to investigate variability in law enforcement officer (LEO) traffic fatality rates among states in order to identify policy-relevant areas of opportunity to reduce deaths.

Differences in state highway spending, regulatory policy, law enforcement training, LEO and general public traffic fatalities, and other state-level variables are explored through cross-sectional regression analysis and qualitative content analysis. Data were used from the Federal Bureau of Investigation Crime in the USA and LEOs Killed and Assaulted reports, and the National Highway Transportation Safety Administration Fatality Analysis Reporting System, among other sources.

There are a number of significant state-level variables and trends that contribute to differences in LEO traffic fatality rates. Maximum highway speed limits and general population traffic fatalities are found to be statistically significant predictors. Thematic factors relating to LEO exceptionalism, agency sovereignty, training, and external control loci, emerged through qualitative analysis.

Limitations included differences in definition, consistency, and reporting among data sources. Qualitative analysis of some variables were limited and future research should pursue more robust and repeated/longitudinal measures.

Policymakers have an opportunity to review significant factors contributing to higher/lower collision involvement rates and make changes to police practices to reduce collision involvement and improve safety for LEOs.

No prior study has offered a national, cross-case analysis of LEO traffic fatalities by state. This paper offers law enforcement policymakers empirical examples of successful LEO traffic safety policies.

The purpose of this paper is to analyze trends in fatal law enforcement officer (LEO) traffic collisions and describes prior research approaches and industry responses. It reviews the issue from historical and contemporary perspectives and details its problems for public policy.

Descriptive statistics are applied to data primarily covering the period 1995 to 2010 contained in the Federal Bureau of Investigation Crime in the USA and LEO Killed and Assaulted reports and the National Highway Transportation Safety Administration Fatality Analysis Reporting System database. Trends are established and comparisons are offered between groups.

Traffic collisions are the leading cause of death for LEOs. Traffic fatalities in the general public have steadily decreased in past decades. This has not been the trend among LEOs. This issue has been studied from several disciplinary perspectives in the social, cognitive, biological, engineering, and natural sciences. While the law enforcement industry has documented the trend, concerted efforts to mitigate the issue have been limited until recently.

Law enforcement practitioners and policymakers should take note of research findings and pursue training, policy, and practice changes to limit LEO traffic fatalities and effect an improvement trend consistent with the national reduction in highway deaths.

This paper brings together previously uncoupled data sources and prior research to identify problematic trends and contextualize LEO traffic fatalities as a subset of all traffic fatalities. It provides law enforcement policymakers a stark and revealing assessment of the most dangerous aspect of their field.

Concerns about the risk of traffic collision injury to both police officers and bystanders are increasing as the use of in-vehicle technologies becoming widespread among agencies. This study used national and California data to characterize traffic collisions in which a police vehicle was involved. The paper aims to discuss these issues.

The authors used a California traffic collision database to retrospectively identify collisions that involved police vehicles for years 2007-2010. The authors summarized collision characteristics with descriptive methods and used log-binomial regression to estimate associations between personal and collision characteristics with officer culpability.

The authors identified 5,233 traffic collisions in California. In total, 10 percent of law enforcement vehicles were motorcycles. In all, 9 percent of cruisers struck a pedestrian or bicyclist, compared with only 2 percent of motorcycles. Compared with officers aged 50 or older, officers in younger age categories were progressively much more likely to have been culpable. Motorcycle officers were 33 percent less likely to be culpable for their collision involvements. Approximately 100 fatal collisions involving a law enforcement vehicle occur each year in the USA.

The findings from this study indicate that approximately 1,300 injury-producing traffic collisions occur each year in California that involve a law enforcement vehicle. The authors found that younger age, female sex, cruiser operation, traveling unbelted, and single-vehicle collision involvement were positively associated with officer culpability. Officer race and community population were not significantly associated with culpability. The occurrence of fatal collisions in the USA was stable over a 12-year period.

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.

Reports on a field experiment in Dayton, Ohio, where the police department has no specialized traffic division, hence traffic enforcement is part of the routine assignment. Aims to measure the effects of traffic law enforcement on crime, arrests and traffic accidents. Presents data covering all index arrests and special arrests involving weapons, drugs and offenders driving under influence, plus all reported traffic accidents. Contrary to other research, fails to detect a relationship between traffic enforcement and crime. Investigates possible reasons for this.

The purpose of this paper is to explore and expand the legal discussion on T-Visa requirements and how it can be better structured to provide support for victims of sex trafficking that suffer from severe mental health injuries.

The authors conducted extensive US legal and sociological research compiling human trafficking mental health report data, primarily conducted in Europe. Based on these finding, the authors interviewed practitioners in the legal field to verify assumed legal hurdles. Once validated the author's attempted to address and design an equitable approach towards mitigating the demonstrated legal shortfall.

There is a dearth of US research on mental health trauma survivors of trafficking endure. This void prevents the legal system from adequately addressing likely outcomes suffered by the victims of this crime and prevents policy makers from structuring legal requirements equitably. Policy makers often need concrete examples of problems before reacting. This paper attempts to demonstrate how the current T-Visa requirements fail to fully recognize mental health injuries of sex trafficking and begins to provide a pathway to balance.

While the statistical data was previously conducted by outside sources, the legal analysis is completely original by the author's and is likely to have a very high value to policy makers when addressing these issues. This paper also highlights the need for a more robust research program into human trafficking and mental health injuries within the US so that many of the analogies and assumptions can be supported.

The purpose of this paper is to investigate the role of cryptocurrencies in facilitating operations relating to modern slavery and specifically human trafficking. Over the past decade, law enforcement agencies and intergovernmental organisations have established mechanisms, including financial regulations, to curb and identify such operations. Regulation over conventional financial institutions has greatly aided in identifying cross-border and transregional trafficking operations. However, there remains concern over the role of cryptocurrencies in the modern trafficking enterprise.

This paper follows a review of the literature, discussing specific cases that have exposed the role of cryptocurrencies in facilitating human trafficking. This paper first presents a comprehensive discussion on the existing operational mechanism of organisations in human trafficking. Subsequently, it determines the potential use of cryptocurrencies in circumventing detection by law enforcement agencies.

This paper finds that existing controls have allowed law enforcement to identify illicit transactions concerning human trafficking through conventional financial institutions. However, the most effective mechanism of identifying such operations is becoming increasingly difficult with the use of cryptocurrencies. Although there are potential solutions to the issues, cryptocurrencies, and the anonymity they offer, have allowed criminal organisations to evade detection using a more active marketplace through the internet.

Law enforcement agencies and regulators must take into account the nature of cryptocurrencies and the limitations of regulations on such global virtual assets. Instead, this paper’s findings suggest alternate methods, including regulation on exchanges, blockchain use for documentation and investments in detection technologies that allow identification of trafficking operations and forced labour.

This paper presents existing cases and growing concerns that cannot be quantified in the current circumstance. Further, the paper aims to specifically discuss the role of cryptocurrencies in the existing human trafficking supply chain, offering readers and law enforcement agencies a perspective into criminal organisations’ combination of conventional trafficking operations and modern technological resources. Further, it makes a recommendation to invest in detection mechanisms that are different from the conventional theory based on identification by “following the money”.