Crime Prevention Strategies Research Articles

Psychological Understanding for Prevention of Juvenile Delinquency through Spatial Design

Children’s delinquent behaviour which is often met with rejection and misinterpretation of their immediate environment necessitates specific treatment for juveniles. The continuous rise in juvenile offences in India, particularly in crowded urban areas, has been an urgent challenge in recent years. According to the National Crime Records Bureau, 31,170 cases have been registered against juveniles in 2021, with a 4.7% increase over 2020. At the crux of such deviance is deprivation, poor-quality environment, and ignorance of its value causing adverse childhood experiences, social problems, and mental disorders. Neighbourhood design affects a person’s behaviour, directly influencing deviance, or creating a hostile communal bond with a juvenile who might eventually exhibit deviance. This study investigates the intersection of psychology, architecture, and policies regarding juvenile crime prevention at the neighbourhood scale. It explores how the built environment influences the behaviour and development of children, and how strategic design interventions can prevent juvenile delinquency. The study also examines the CPTED approach of various countries to understand the design principles that influence social behaviour. The inferences drawn are applied to understand crime preventive design strategies in Indian urban low-income neighbourhoods with higher juvenile crime rates. While CPTED focuses on general crime prevention strategies, juvenile crimes, which require a more comprehensive approach and an understanding of the root causes of future crimes, have not been delved into. Hence, this paper proposes an integrated framework that promotes holistic neighbourhood design to prevent juvenile delinquency by creating safe, inclusive communities that nurture positive youth development.

Effect of police expenditure on crime rate in India

Purpose This study aims to examine the relationship between law enforcement expenditures, economic indicators and various crime rates in India using data from the National Crime Records Bureau (NCRB) spanning from 2001 to 2021. Design/methodology/approach The study uses data sourced from the NCRB covering violent crimes, property crimes, economic crimes and total crimes under the Indian Penal Code across 27 states and 2 union territories in India. Crime rates per 100,000 people are calculated using projected population figures from the 2001 and 2011 censuses, adjusting for census periods and growth rates. Economic variables such as per capita real gross state domestic product (GSDP) and total police expenditure are obtained from state government sources, adjusted to constant prices. Pooled ordinary least squares analysis is conducted to explore the relationships between crime rates, conviction rate, economic factors and police expenditure over the three-time points: 2001, 2011 and 2021. Findings The study reveals a complex relationship between police expenditure and crime rates across different categories in India. Increased police expenditure is positively associated with higher reporting rates for violent and economic crimes, suggesting that enhanced law enforcement resources may improve crime detection and reporting. However, contrary to some expectations, higher police spending does not necessarily lead to a reduction in overall crime rates. Economic prosperity, measured by per capita GSDP, is found to reduce violent crime rates but is associated with an increase in property and economic crimes, likely due to the greater opportunities for such crimes in wealthier regions. Research limitations/implications The study’s reliance on state-level aggregate data and NCRB crime statistics, which are based on reported incidents, might not fully capture the true extent of criminal activity, particularly in regions with underreporting issues. In addition, the use of projected population data beyond 2001 and 2011 introduces some uncertainty into the analysis. Future research should explore district-level data to better understand regional variations in crime and incorporate social, cultural and innovative policing strategies to provide a more comprehensive analysis. Practical implications Policymakers should recognize the nuanced impacts of police expenditure and economic prosperity on crime rates. While increased law enforcement resources may enhance crime reporting, they do not guarantee a reduction in overall crime rates. Economic growth, while beneficial in reducing violent crimes, may inadvertently increase property and economic crimes due to greater opportunities for criminal activity. These insights suggest the need for targeted interventions that consider both economic factors and law enforcement strategies in crime prevention efforts. Originality/value This study contributes to the ongoing debate about the effectiveness of police expenditure in reducing crime by highlighting its limited impact on overall crime rates in India. The findings underscore the importance of understanding the diverse effects of economic prosperity on different crime types, offering valuable insights for policymakers aiming to design evidence-based crime prevention strategies that account for socioeconomic disparities and regional contexts.

A doubly stochastic point process approach for spatio-temporal dynamics of crime data

Crime, in general, is at the base of crucial issues for many societies living in large cities worldwide. Indeed, crime and neighbourhood disorder may negatively impact the health of urban residents. Thus, the crime rate reduction is at the core of many local policies driven by active plans supported by police action and local authorities. Considering crime reports as a spatio-temporal point pattern, we propose spatio-temporal log-Gaussian Cox processes as a modelling framework for crimes in space and time. We model the spatial and temporal variation through generalized parametric additive and linear models, and a Gaussian space-time process approximates the residual variation. The inference is performed via Markov chain Monte Carlo through MALA algorithms. We provide short-term forecasts of future crimes and suggest a surveillance system that operates by reporting predictive probabilities. Our data come from the reported crimes in the locality of Kennedy (Bogota) over several years and several types of crimes. The police department may use our method to help allocate police resources and design crime prevention strategies and policies, such as surveillance, in specific zonal planning units.

Design Framework for VR Games in the Police Domain

The escalation in the number of conflicts poses various implications and consequences to society, demanding a comprehensive understanding from a law enforcement perspective. The surge in conflicts introduces significant challenges related to public safety, necessitating adaptive strategies for both conflict and crime prevention and resolution. Accordingly, effective policing must adapt to the evolving dynamics, employing a nuanced approach that addresses the root causes of conflicts and enhances community resilience to avoid or mitigate them and their broader societal impact. A pivotal role is this direction is played by the ongoing technological advancements that facilitate actions like enhancement of situational awareness, analyzing patterns and anticipating potential hotspots and activities, facts that sustain both proactive and reactive measures. In particular, technological advancements in Virtual Reality (VR) present a valuable avenue for addressing policing challenges, especially in relation to conflict resolution, mitigation, and prevention. Building VR simulations for training purposes offers a controlled yet realistic environment for officers to practice e.g., de-escalation strategies and decision-making under stress. These gaming simulations provide a platform to expose officers to diverse scenarios, fostering adaptability, encouraging communication and collaboration, and enhancing their ability to properly handle conflicts with precision and self-control. At the same time, VR systems can be developed for societal awareness and educational purposes, fostering better understanding and communication between law enforcement and the public. While a broad range of governmental, practitioner, and academic efforts exist aiming at building and incorporating VR solutions for various purposes in the police domain, specific areas that involve other societal forces and bystanders need more attention. It is then the aim of this article to capture existing design and evaluation principles as well as lessons learned from existing VR solutions in the police domain. This is done by proposing a design framework for responsible VR gaming solutions in the police domain following the Design Science Research methodology in a transdisciplinary approach.

The Influence of Weather Temperature on Crime Occurrence in Babylon Province

Objectives: This study investigates the influence of temperature fluctuation on specific types of crimes in Babylon in Iraq. It also analyzes how varying temperatures leave an impact on crime patterns and trajectories. Methods: The study uses quantitative analysis, descriptive statistics, and Geographic Information Systems (GIS) to examine temperature and crime data. Statistical techniques, including correlation and regression analysis, are applied to assess the relationships between temperature variables and crime rates. Results: The study results showed that there is a strong affinity between temperatures and crime rates. Murder crimes reach their peak in hot summer months. The study also showed that theft crimes, including burglary, increase during cold winter months. Statistical analysis validates these findings, highlighting a direct correlation between temperature and murder rates and an inverse correlation with theft rates. Conclusions: This study confirms the huge impact of temperature fluctuation on criminal behavior in Babylon, Iraq. Recognizing these seasonal variations may help construct effective crime prevention strategies. Additionally, the study explores multiple theoretical perspectives, underlining the importance of adopting a multidisciplinary approach to comprehensively grasp the intricate relationship between climate and crime.

What Determines the Crime Rate? A Macroeconomic Case Study

This study examines the relationship between economic indicators and crime rates in six European countries: Lithuania, Germany, Greece, Portugal, Finland and Sweden. By examining macroeconomic factors such as GDP, security spending and per capita consumption, the study aims to understand how these variables affect crime dynamics. Using robust econometric techniques, including panel regression with fixed effects, the study identifies significant correlations and patterns. The findings reveal that the crime rate has a high degree of inertia and is significantly influenced by the previous level. Contrary to expectations, increased per capita consumption is associated with higher crime rates, which may indicate that wealthier societies are experiencing an increase in economic crime. Furthermore, higher spending on security does not necessarily reduce crime, suggesting that types of crime evolve as detection capabilities improve. This study highlights the complexity of the nexus between crime and the economy, highlighting the need for multifaceted, long-term policies to effectively combat crime and increase public safety. The results offer valuable insights for policymakers to develop comprehensive crime prevention and economic development strategies.

Optimizing Crime Prevention Strategies: Harnessing the Contribution of Computer’s Hardware and Software for Enhanced Public Safety – A Review

This review paper explores the crucial role of computer hardware and software in optimizing crime prevention strategies and enhancing public safety. It delves into the increasing need for efficient preventive measures to combat the growing number and variety of criminal activities. The paper examines how technology can be leveraged to improve crime detection, prediction, and crisis management, ultimately contributing to safer communities.

Fa'avae: A Samoan Theory of Crime from the ‘South’ Pacific

This article presents an interdisciplinary theory on the causes of crime in Samoa. The theory utilises a cultural practice of building the foundation - fa’avae - of a Samoan house, to explain the causes of crime and to articulate a crime prevention strategy from the nuances of the word fa’avae. The interdisciplinary nature of this theory considers two main aspects of the Samoan life of God and family (aiga) to describe both the causes of crime in Samoa, and a way forward to restore aiga and community fractured by crime. The theory calls upon the church through church ministers – faifeau – to become active in the public sphere. This entails speaking out about the causes of crime and working in collaboration with other stakeholders in devising culturally appropriate crime prevention approaches for Samoa, likely to also be familiar to other ‘South’ Pacific nations.

ASSESSING THE IMPACT OF INEQUALITIES ON RESIDENTS' PERCEPTION AND CRIME INCIDENTS IN URBAN AND PERI-URBAN NEIGHBOURHOODS

The COVID-19 pandemic has brought the issue of inequality to the forefront, exacerbating economic uncertainty and social injustice, which has led to widespread social disorder. This study examines the relationship between inequality and crime in urban and peri-urban neighborhoods in Penang; Moreover, an association between inequality and the incidence of crime will be investigated in two neighborhoods. Having considered the intricate relationship between social inequality and crime in previous studies, a quantitative approach was conducted to investigate how neighborhood locations impact the crime and inequality relationship. A face-to-face survey using a closed-ended questionnaire was conducted with 761 respondents, comprising 329 from Balik Pulau and 432 from Bayan Baru. The findings reveal that economic inequality significantly impacts crime rates in both Bayan Lepas and Balik Pulau, whereas social inequality only shows a negative significant effect in Bayan Lepas. Subsequently, results indicate income does not influence the fear of crime among respondents in Balik Pulau, but residents with higher income levels in Bayan Lepas exhibit a greater fear of crime. However, neighborhood locations do not distinctly affect criminal activity. These insights can help enhance crime prevention strategies, improve security, and foster balanced development in Penang.

URBANIZATION AND SOCIAL CRIME: A STUDY ON SOCIO-ECONOMIC DIMENSIONS OF THE MANIPUR CENTRAL VALLEY

Geography is concerned to provide accurate, orderly, and rational description and interpretation of the earth's surface. The study of population dynamics and its impact on social crime is crucial for understanding regional development and planning. The present study examines the dynamics of population growth, urbanization, and social crime in Manipur's Central Valley. Utilizing, the data from the primary and secondary sources (such: NCRB, Superintendent of Police, Manipur central Valley, and Census of India). The research adopts technique, such as Decadal Growth method, Principal component Analysis. Over a 70-year period from 1951 to 2021, the region witnessed a consistent rise in population, growing from 3,87,523 to 18,77,416. Despite this growth, the pace has decelerated, reflecting a shift from high to moderate growth rates due to factors such as birth rates, mortality rates, and migration patterns. Urban population data from the 2011 Census reveals significant regional disparities, with Imphal West being the most urbanized and Bishnupur the least. Principal Component Analysis (PCA) of social crime data identifies three key patterns: "Anomie Violence," "Marginalized Deviance," and "Economic Strain Deviance," each associated with different regions and types of crime. A comparison of social crime patterns with urban population sizes highlights varying correlations, suggesting complex interactions between demographic changes and crime rates. This analysis underscores the need for targeted urban planning and crime prevention strategies in response to evolving socio-economic dimensions.

Level of Effectiveness and Seriousness on The Problems Encountered in the Implementation of Crime Prevention Strategies of The Philippine Na-tional Police in Olongapo City, Philippines

Every country is impacted by criminality on an economic, social, and political level. The national news in the Philippines typically reports on crimes against persons and property because of the prevailing belief that the country's economic standing is insufficient to support an individual's level of living. The Philippine National Police (PNP) in Olongapo City has not yet succeeded in implementing crime prevention and control, despite their best efforts to prevent crime. The Philippines uses foreign approaches to crime prevention that don't align with the nation's current criminality issues. The PNP organization is facing difficulty in crime prevention due to its inability to demonstrate its efficacy and efficiency in the performance of its duty. The primary aspect that leads to the prevention of crime is following the path of morality, virtue, and ethics by all the individuals. These morals and values would enable a person to focus on the achievement of his life and career goals and abstain from conducting any kind of criminal and violent acts.

Analysis of the Flow of Offenders to the Metropolitan Region of Chile

This study, based on data from 2015 to 2019 on the movement of offenders to the Metropolitan Region of Chile, uses Poisson and Negative Binomial models to analyze the flow of offenders from other Chilean regions. It confirms that factors such as gender, educational level, location of crime, and type of crime significantly motivate displacement. The profile of the typical offender is an educated man who commits crimes against property on public roads, coming mainly from neighboring and populated regions. These findings have implications for crime prevention, suggesting that strategies to prevent crime should take this into account. Future research at the commune level is proposed for a more detailed understanding of offender displacement patterns and to inform local crime-prevention strategies.

Mathematical Approaches to Crime Data Analysis: Enhancing Evaluation and Prevention Strategies

Crime data analysis is crucial for assessment and prevention. This research study examines mathematical techniques to crime data analysis to find effective ways to identify crime trends and design effective preventative methods. The report opens with an overview of the situation, noting rising crime rates and the need for new analysis. Crime data analysis's historical backdrop, mathematical and statistical methods, technical advances, and theoretical frameworks are covered in a thorough literature review. The study covers data collection, preprocessing, analytical technique selection, model assessment, and validation. Crime data interpretation is tested using predictive modelling, geographical analysis, clustering, classification, and network analysis. Case studies show successful implementations and compare methods. The discussion part discusses the results, crime prevention techniques, and limits and obstacles. Future research suggestions are given. This study summarizes major themes, policy consequences, and future prospects, adding to crime data analytic expertise. This study uses mathematical methods to help law enforcement and policymakers improve crime prevention. Keywords: - Crime Data Analysis, Mathematical Approaches, Predictive Modelling, Spatial Analysis, Crime Prevention Strategies

Designed for safety: characteristics and trends in crime prevention through environmental design research

ABSTRACT Under the dual pressures of repeated impacts from the pandemic and global economic downturn, the deterioration trend of social security is evident. In 2021 and 2022, the United Nations consecutively emphasized the centrality of reducing and preventing recidivism, aiming to foster research and practices in crime prevention. Developing and applying crime prevention through environmental design (CPTED) theory provides a viable approach to reducing crime. Utilizing the relevant literature on environmental design for crime prevention from the Web of Science Core Collection database and employing Cite Space software, this study systematically delineates the research trajectory of crime prevention through environmental design. The research uses bibliometrics and literature analysis methods to identify research hotspots and trends in the field. Building upon these findings, the study proposes that future research in CPTED should systematically explore the spatiotemporal heterogeneity of the impact of urban built and social environments on crime. It also advocates for in-depth investigations into the long-term causal relationship between environmental features and crime under the framework of CPTED. The study emphasizes the exploration of the local applicability of CPTED theory under conditions of multiculturalism and regional differences. This helps to propose crime prevention strategies for new social issues and crime patterns, thereby providing strong support for the sustainable development of cities.

The Impact of Vacant and Abandoned Property on Health and Well-Being: A Qualitative Inquiry

This qualitative study explored the role of neglected properties and neighborhood environment characteristics on a sample of New Orleans, Louisiana residents’ health and well-being, sense of community, sense of safety, and civic engagement. We hypothesized that residents would identify conditions of their neighborhood's physical environment, including neglected properties, as one factor that impacted their health and other aspects of well-being. Seventy-four (N = 74) participants, including women, men, youth, young adults, and community leaders, took part in 11 focus groups (n = 51) and 23 key informant interviews. Thematic content analysis through inductive and deductive coding cycles of interview transcripts revealed five main categories related to urban neighborhood-built and social environments: 1) health and well-being, 2) sense of community, 3) sense of safety, 4) civic engagement, and 5) youth and family violence. Ten themes were developed and included, for example, the role of neighborhoods in delineating access to health-promoting characteristics and resources; the role of neighborhood social networks as crime prevention strategies; resident-led decision-making in neighborhood improvements; the negative impact of neglected properties; and the role of the local government in improving physical infrastructure. These findings affirm that residents were aware of and impacted by the cyclical nature of built environment neglect on health and well-being, community violence, neighborhood cohesion, civic engagement, and youth violence. Participants recommended improving neighborhood conditions to shift resident mindsets about the health of neighborhoods, reduce violence, and improve quality of life.

Spatial Patterns of Violence Against Women and Children using Geographic Information System and Density-Based Clustering Algorithm

This paper underscores the importance of the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm in data mining. In this research, data mining clustering methods were applied to investigate consummated felonies related to the "Anti-Violence Against Women and Their Children Act of 2004 - RA 9262" from 2018 to 2023. The criminal data processed from the Police Regional Office 6 of the Philippine National Police encompassed 248 attributes reflecting cases over the specified period. The significance of this study lies in its utilization of ArcGIS Pro software to process the provided data through clustering techniques, presenting a robust approach for detecting criminal activities and recognizing patterns to aid law enforcement in crime reduction efforts. Spatial data mining proves practical when dealing with geographic crime datasets, facilitating the analysis of large volumes of crime data. The DBSCAN algorithm was employed to cluster crime incidents centered on predefined events, with the resultant clusters used to identify hotspots. These clustering outcomes are then visualized using GIS, enabling real-time mapping of crime distribution for law enforcement agencies to comprehend and engage with effectively. The outcomes empower stakeholders to devise interventions tailored to specific locations, thereby contributing to a safer environment for women and children. The study illuminates the localized analysis of crime distribution, offering insights into the interconnected factors influencing criminal incidents and providing a framework for crafting targeted and efficient strategies for crime prevention, thereby enriching the broader dialogue on crime management and public safety.

Revisiting the Effect of Rapid Response on the Frequency of Reported Crimes Using an Instrumental Variable Approach

Rapid response to emergency calls for service is among the most widely adopted crime prevention strategies used by police today while practitioners, policy makers, and researchers differ on its crime prevention efficacy. Using observational research designs to examine the relationship between rapid response and crime can give the appearance that faster response times lead to more crime because larger law enforcement agencies often allocate greater patrol resources to areas with greater crime counts. An instrumental variable approach is one research design solution to this research problem. Using a pair of instruments based on characteristics of beat boundaries and counts of adjoining beats, we find average response times are unrelated to the frequency of reported violent crimes. However, we also find that quicker rapid response is tied to fewer reported property crimes, specifically burglaries and motor vehicle thefts, with additional findings suggesting incapacitation is the mechanism behind the differences.

EDUCATIONAL ISSUES IN THE RESOCIALIZATION PROCESS OF CRIMINAL OFFENDERS

The primary focus of the research is to investigate educational challenges in the process of resocializing individuals with criminal tendencies. The research aims to analyze educational issues in the resocialization process of offender to facilitate a more effective resocialization of criminally inclined individuals into society. The research tasks encompass various key objectives, including the analysis of offender characteristics, exploration of the formation process of offender personalities, formulation of proposals to mitigate the negative impact of macro-environmental factors, and development of resocialization recommendations. The novelty of the research is linked to changes in cultural values and social norms influencing the behavior, motivation, and transformation of social values among criminally inclined individuals. The outcomes of the research will contribute to the development of more effective strategies for crime prevention and the resocialization of offender personalities within society. The chosen research methods will provide a comprehensive insight into the formation of offender personalities and the factors influencing them. The monographic method will be utilized to describe existing research findings and provide conceptual explanations regarding offender personality and its formation mechanisms. The comparative method will be applied to assess issues related to the prevention of criminal activities among criminally inclined individuals in Latvia and other countries.

A step in time: A sequence analysis and choice modelling approach to examine time allocation in individual activities and the role of neighbourhood crime

The Space-Time Budget (STB) method is used to collect spatial and temporal features of an individual’s activities and is an important technique to explore relationships between the environment and crime. This spatial and temporal approach to the study of everyday activity spaces reveals much about victimisation experiences, the relationship between place, time, and perceptions of safety, and where and when offending may occur. Few studies, however, consider the relationship between living in a criminogenic place (neighbourhood crime) and people’s daily activity patterns. Drawing on disaggregate app-based data for 50 participants tracked over a 7-day period, we use sequence analysis to first delineate time allocation to each activity on a minute-by-minute basis. Next, using result from the sequence analysis we introduce the multiple discrete-continuous extreme value (MDCEV) model to understand how neighbourhood crime and socio-demographic characteristics influence individuals’ time allocation to discrete daily activities. Results reveal that neighbourhood drug and violent incidents exert restrictions on an individual’s propensity to spend time outside the home. Females and older people appear more likely to be constrained by the presence of neighbourhood crime (in particular drug and property incidents) as they allocate less time to outdoor activities. The principal utility of the current study is its methodological advancement and the practical insights for urban planning regarding the design of crime prevention strategies to increase guardianship in public places.

Examining and Comparing the First Public Olympic and Competitive Sports Misconduct Registry with the National Sex Offense Registry

ABSTRACT In 2017, the U.S. Center for SafeSport launched the first public disciplinary sports registry listing individuals accused of engaging in harmful behavior against child and adult athletes. Our study reviews information from 1,161 individuals on SafeSport’s sports registry. Of the individuals on the sports registry, 22% were concurrently listed on the national registry for sexual offenses. Relative to individuals listed only on the sports registry, those on both registries were 4.5 and 1.4 times more likely to have sexual misconduct allegations and allegations involving a child, respectively. Of those on both registries, 31% were on the national registry approximately seven years before appearing on the sports registry. We discuss whether and how public registries represent effective strategies for crime prevention.