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CRIME PREVENTION

CRIME PREVENTION-POLICING-CRIME REDUCTION-POLITICS

Posts tagged crime prediction
Law Enforcement Use of Predictive Policing Approaches

By Erin Hammers Forstag, Rapporteur; Division of Behavioral and Social Sciences and Education; National Academies of Sciences, Engineering, and Medicine

Predictive policing strategies are approaches that use data to attempt to predict either individuals who are likely to commit crime or places where crime is likely to be committed, to enable crime prevention. To explore law enforcement's use of person-based and place-based predictive policing strategies, the National Academies of Sciences, Engineering, and Medicine held a two-day public workshop on June 24 and 25, 2024.

National Academies of Sciences, Engineering, and Medicine, 2024. 14 pages

Hardening the System: Three Commonsense Measures to Help Keep Crime at Bay

by Rafael A. Mangual

After a long period of continuous violent-crime declines throughout the U.S.—spanning from the mid-1990s through the early 2010s—many American cities are now seeing significant increases in violence. Nationally, in 2015 and 2016, murders rose nearly 11% and 8%, respectively.[1] The national homicide rate declined slightly in 2017 and 2018, before ticking upward in 2019.[2] In 2020, the nation saw its largest single-year spike in homicides in at least 100 years—which was followed by another increase in murders in 2021, according to CDC data and FBI estimates.[3] In the last few years, a number of cities have seen murders hit an all-time high.[4] In addition to homicides, the risk of other types of violent victimizations rose significantly, as well.[5] While various analyses estimated a slight decline in homicides for the country in 2022,[6] many American cities still find themselves dealing with levels of violence far higher than they were a decade ago. While violent crime—particularly murder—is the most serious due in large part to its social costs,[7] there have also been worrying increases in crimes such as retail theft,[8] carjacking,[9] and auto theft,[10] as well as in other visible signs of disorder in public spaces (from open-air drug use and public urination to illegal street racing and large-scale looting and riots).[11] Although several contributing factors are likely, this general deterioration in public safety and order was unquestionably preceded and accompanied by a virtually unidirectional shift toward leniency and away from accountability in the policing, prosecutorial, and criminal-justice policy spaces. That shift is evidenced by, among other things, three major trends in enforcement: A 25% decline in the number of those imprisoned during 2011–22[12], A 15% decline in the number of those held in jail during 2010–21[13], A 26% decline in the number of arrests effected by law-enforcement officers during 2009–19[14]. Notable contributing factors to the decline in enforcement include: A sharp uptick in public scrutiny and interventions—in the form of investigations and legal action taken by state attorneys general and the federal Department of Justice—against local law-enforcement agencies[15]. The worsening of an ongoing police recruitment and retention crisis, particularly in large urban departments[16]. The electoral success of the so-called progressive prosecutor movement, which, by 2022, had won seats in 75 jurisdictions, representing more than 72 million U.S. residents[17]. Perhaps most important, the adoption of a slew of criminal-justice and policing reform measures at all levels of government[18]. Those who are skeptical of the criminal-justice reform movement have devoted most of their efforts to arguing against the movement’s excesses and explaining why it would be unwise to enact certain measures.[19] Less effort has been devoted to the extremely important task of articulating a positive agenda for regaining what has been lost on the safety and order front.[20] This paper seeks to add to that positive agenda for safety by proposing three model policies that, if adopted, would help, directly and indirectly, stem the tide of rising crime and violence, primarily by maximizing the benefits that attend the incapacitation of serious criminals (especially repeat offenders) and by encouraging the collection and public reporting of data that can inform the public about the downside risks that are glossed over by decarceration and depolicing activists. The three policies proposed here, which draw on policies proposed and adopted throughout the country in recent history: Modified “Three Strikes”—Creating a points system for various offenses as well as a points threshold that will trigger a mandatory minimum sentencing enhancement, in order to improve deterrence for those beneath the threshold and to maximize incapacitation for those who step over it. “Truth in Sentencing”—Setting a floor for how much of a given sentence must be served before a convicted felon becomes eligible for initial release into community supervision, in order to maximize incapacitation for those who have been convicted of a serious offense and sentenced to a term of imprisonment. “Data Transparency”—Identifies several types of crime-related data that jurisdictions will be encouraged to collect and report in a standardized manner to address the problem of making and evaluating policing and criminal-justice policies without the benefit of reliable, relevant data. These model policies should be viewed flexibly; policymakers should see them as starting points, feeling free to make changes that reflect the various concerns and idiosyncrasies specific to their respective jurisdictions.

New York: Manhattan Institute, 2024. 19p.

DESIGN AGAINST CRIME: Crime Proofing Everyday Products

MAY CONTAIN MARKUP

Edited by Paul Ekblom

In the realm of product design, the concept of crime-proofing everyday products has emerged as a vital consideration. With the objective of enhancing safety and security in mind, designers are exploring innovative ways to deter criminal activities through the very objects we interact with on a daily basis. By integrating elements such as tamper-proof features, anti-theft mechanisms, and user-friendly security measures, these products aim to provide users with a heightened sense of protection and peace of mind. Design Against Crime represents a proactive approach towards creating a more secure environment, where intelligent design serves as the first line of defense against potential threats.

Lynne Rienner Publishers, 2012 , 293 pages

Crime Hot Spots: A Study of New York City Streets in 2010, 2015, and 2020

By David Weisburd George Mason University, Hebrew University Taryn Zastrow

Recent data in New York City suggest that violent crime is on the rise. However, over the last three decades, there has been a more than 70% decline in index crimes as reported by the FBI. This led to a growing perception, especially among critics of policing, that crime in NYC had become a marginal problem, or at least that it had declined to levels such that there was no need to place too much emphasis on crime control. Combined with concerns about police abuses and claims of disparities in policing in minority and disadvantaged communities, this fueled calls for defunding the police. In this report, we focus on the high-crime hot spots where 25% and 50% of NYC crimes were committed. The crime numbers on those streets suggest that, despite the encouraging overall crime decline over the past few decades, many city streets continue to have very high crime levels that need to be addressed by police and other agents of the city government. Our report looks beyond general crime statistics to the hot spots of crime where much crime in a city is concentrated. Looking at NYPD crime reports for 2010, 2015, and 2020, we find that about 1% of streets in NYC produce about 25% of crime, and about 5% of streets produce about 50% of crime. This is consistent across the three years, showing that a very small proportion of streets in the city are responsible for a significant proportion of the crime problem. Mapping crime in NYC, we found that high-crime streets are spread throughout the city, though concentrated in Manhattan, the Bronx, and Brooklyn. In turn, we observed a good deal of street-by-street variability, with the highest-crime streets often adjacent to streets with little or no crime. This means that it is misleading to classify whole neighborhoods as crime hot spots, since the majority of streets—even in higher-crime areas—are not. This is an important lesson for police and ordinary citizens who mistakenly see very large areas as crime-ridden. We also found a good deal of stability in the locations of crime hot spots. Nearly all the streets that were hot spots as we have defined them in 2010 were also hot spots in 2020.

New York: Manhattan Institute, 202. 30p.

Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It

By Sara B. Heller, Benjamin Jakubowski, Zubin Jelveh & Max Kapustin   

  This paper shows that shootings are predictable enough to be preventable. Using arrest and victimization records for almost 644,000 people from the Chicago Police Department, we train a machine learning model to predict the risk of being shot in the next 18 months. Out-of-sample accuracy is strikingly high: of the 500 people with the highest predicted risk, almost 13 percent are shot within 18 months, a rate 128 times higher than the average Chicagoan. A central concern is that algorithms may “bake in” bias found in police data, overestimating risk for people likelier to interact with police conditional on their behavior. We show that Black male victims more often have enough police contact to generate predictions. But those predictions are not, on average, inflated; the demographic composition of predicted and actual shooting victims is almost identical. There are legal, ethical, and practical barriers to using these predictions to target law enforcement. But using them to target social services could have enormous preventive benefits: predictive accuracy among the top 500 people justifies spending up to $134,400 per person for an intervention that could cut the probability of being shot by half. 

Unpublished Paper, 2023. 64p.

Policing Los Angeles Under a Consent Decree: The dynamics of change at the LAPD

By Christopher Stone, Todd Foglesong and Christine M. Cole

The Los Angeles Police Department is completing one of the most ambitious experiments in police reform ever attempted in an American city. After a decade of policing crisis that began with the beating of Rodney King in 1991 and culminated in the Rampart police corruption scandal in 1999, the U.S. Department of Justice announced in May 2000 that it had accumulated enough evidence to sue the City of Los Angeles over a pattern-and-practice of police misconduct. Later that year, the city government entered a "consent decree" promising to adopt scores of reform measures under the supervision of the Federal Court. The experiment in police reform in Los Angeles has two components: the consent decree produced by the Justice Department’s intervention, and the leadership of Chief William Bratton, who since 2002 has focused the Department’s attention simultaneously on reducing crime, improving morale, and complying fully with the consent decree. What has the experience in Los Angeles revealed about policing under a consent decree?

  • Has the consent decree achieved its purpose? How is the Los Angeles Police Department controlling its use of force; what is the state of police-community relations; how rigorous is the governance and oversight of the LAPD; and how is the culture of the Department changing? Most important, as the LAPD has incorporated the policies and practices specified in the consent decree into its own operations and management, has the Department won the public’s trust and confidence while reducing crime and bringing offenders to justice? To answer those questions, the Program in Criminal Justice Policy and Management at the Harvard Kennedy School examined the LAPD using multiple research methods. We undertook hundreds of hours of participant observation from patrol to the command staff; we analyzed administrative data on crime, arrests, stops, civilian complaints, police personnel, and the use of force. We compiled surveys conducted over the last decade of police officers and residents of Los Angeles, and then conducted three surveys of our own, one of residents, another of LAPD officers, and a third of detainees recently arrested by the LAPD. Finally, we conducted a series of formal focus groups and structured interviews with police officers, public officials, and residents of Los Angeles. While some questions remain unanswered, this ranks among the most comprehensive assessments ever conducted of a police department outside of a time of crisis. We found the LAPD much changed from eight years ago, and even more so in the last four or five years.Description text goes here

Cambridge, MA: Program in Criminal Justice Policy and Management, Harvard Kennedy School, 2009. 76p.

Predicting Criminal Behavior with Lévy Flights Using Real Data from Bogotá

By Mateo Dulce Rubio

I use residential burglary data from Bogota, Colombia, to fit an agent-based model following truncated L´evy flights (Pan et al., 2018) elucidating criminal rational behavior and validating repeat/near-repeat victimization and broken windows effects. The estimated parameters suggest that if an average house or its neighbors have never been attacked, and it is suddenly burglarized, the probability of a new attack the next day increases, due to the crime event, in 79 percentage points. Moreover, the following day its neighbors will also face an increment in the probability of crime of 79 percentage points. This effect persists for a long time span. The model presents an area under the Cumulative Accuracy Profile (CAP) curve, of 0.8 performing similarly or better than state-of-the-art crime prediction models. Public policies seeking to reduce criminal activity and its negative consequences must take into account these mechanisms and the self-exciting nature of crime to effectively make criminal hotspots safer.

Bogotá, Colombia: Universidad de los Andes–Facultad de Economía–CEDE, 2019. 29p.