Urban Crime Research Articles

The influence mechanism of urban street environment on juvenile delinquency based on multi-source data fusion: a case study of Manhattan, New York

Streets are an important component of urban public spaces and also a high-incidence area for urban crime. However, current research mainly involves adult crime, or fails to distinguish between adult and juvenile crime, which poses a severe challenge to the prevention of juvenile delinquency. Juveniles have lower self-control abilities and are more likely to be influenced by external environmental factors to trigger criminal behavior compared to adults. Therefore, this study uses New York’s Manhattan district as an example, based on CPTED and social disorganization theories, and utilizes street view data and deep learning techniques to extract street environment indicators. The GWR model is used to explore the influence mechanism of urban street environment on juvenile crime. The results of this study, considering spatial heterogeneity, demonstrate the impact of various physical environmental indicators of urban streets on juvenile delinquency, and reveal that some street indicators have differentiated effects on crime in different areas of the city. Overall, our research helps to uncover the relationship between juvenile delinquency and the built environment of streets in complex urban settings, providing important references for future urban street design and juvenile delinquency prevention.

Social Justice Coalition & 2 others v Minister of Police and 4 others: Right to City as a Mitigating Concept to Harms on Public Safety

The South African constitution in section 9(3) prohibits unfair discrimination against anyone. This paper aims to unpack a judgement handed down by the Constitutional Court of South Africa on 19 July 2022 relating to the unfair allocation of policing resources in South Africa, thus resulting in unfair discrimination. The case discussed is the case of Social Justice Coalition and 2 others v Minister of Police and 4 others. Systematic discrimination has seen less allocation of police resources amongst poorer communities such as Khayelitsha in Cape Town. The paper further aims to see how local government can play a meaningful role in promoting public safety in its law and policy, thus promoting the ‘right to city’ and adhering to United Nations normative approaches on Urban crime and safety. This may mitigate systematic discrimination that historically disadvantaged areas have in policing resources across South Africa. Generally, South Africa is ranked one of the most violent societies. Murder, robbery, rape, femicide, and domestic violence occur at alarming levels. Cities such as Cape Town rank amongst the twenty most violent cities in the world, with the likes of some Latin and Central American cities, which are countries that are not in any form of civil war or civil unrest. It is a general norm that some areas have developed a reputation of being high risk to public safety because of various violent crimes such as gun shooting, stabbing, and rape. Certain areas in metropolitan cities, such as Khayelitsha Cape Town, are known to have high unreported incidents of violent crimes. It is worth pointing out that the application brought before the courts focuses on the lack of policing resources in Cape Town. This judgement also fits into the reality of the situation across South African townships under-resourced with policing resources to deal with violent crime and other crime. The paper will be structured in a way that first gives a background of the case, secondly a critical analysis of the case through the concept of ‘right to city’ and thirdly, submissions and a conclusion.

Impact of Socio-Economic Factors on Urban Crime in Abidjan

Impact of Socio-Economic Factors on Urban Crime in Abidjan

The relationships between Urban Tree Canopy Cover and Crime in São Paulo City, Brazil

Prior research has indicated lower crime rates in areas with greater tree canopy cover predominantly in the Global North. There are few studies from the Global South, and more specifically in Latin America. Given the high prevalence of crime in Latin American cities, the need to address social and environmental inequalities using nature-based solutions is urgent. This study examines crime and tree canopy cover through a series of spatial analyses for São Paulo city, Brazil, while controlling for potential confounders. We tested six levels of data aggregation that were combined with three different crime types and two denominators of crime, to account for spurious findings from Modifiable Areal Unit Problems (MAUP). Of the 36 models, a majority of 27 models (75 %) indicate a negative relationship between crime and tree cover canopy, while 4 models (11 %) show a positive correlation, and 5 models (14 %) suggest no statistically significant relationship. Our best models allow us to infer that 10 % greater tree canopy cover is associated with a 1.20 % fewer property, personal and total reported crimes, with statistical significance at the p < 0.001 level. These findings support our hypothesis that there is a negative relationship between tree canopy cover and crime, with a stronger association observed for property crime than personal or total crime. The negative relationship persisted independently of the level of data aggregation, crime types, crime denominator and spatial models specifications (lag and SARMA), avoiding statistical bias of MAUP. The results follow the literature that have observed tree cover associated with lower crime rates, for different types of crime, while adding a new climatic and cultural context to the evidence base.

Urban Crime in the Lagos Traffic: An Ethnography at the Crossroads of Multiple Codes of Ethics

ABSTRACT This article is an ethnographic investigation into hawking, pickpocketing, and other crimes perpetrated during traffic situations in contemporary Lagos. Scholarship on street hawking in Nigeria – Lagos in particular – has overlooked certain issues associated with street hawking within Lagos traffic and has failed to counter the everyday understanding that itinerant traders are major actors in the recurring crimes that occur in traffic hold-ups. Through immersive fieldwork and based on my personal experience as a street hawker, I challenge some of these beliefs that urban crimes such as pickpocketing and armed robbery during hold-ups are predominantly perpetrated by street hawkers. I argue that street hawkers are distinguishable from the real criminals, despite police discourse and common beliefs. The criminalization of hawkers in the public mind and in administrative practices is due to categorical stereotypes unfairly produced by the government about itinerant traders during the city's feared traffic hold-ups. I show how the unfair criminalization of itinerant traders has been used to justify curbing street hawking within the traffic in Lagos.

What is the role of architects and urban planners in crime prevention?

In this article, we discuss the role of urban planning professionals in situational crime prevention. We begin by examining their role as city “shapers” and the reasons behind their frequent neglect of crime-related factors in their decision-making process. We also explore why criminology tends to underestimate the influence of urban planning professionals on the urban environment, a factor crucial for effective crime prevention. To highlight the disconnection between urban planning and crime prevention, we present findings from a survey conducted with urban planners and safety experts in 290 Swedish municipalities. The article concludes with future research and practice recommendations, stressing the urgent need for improved communication and collaboration between urban shapers and environmental criminologists and a more comprehensive understanding from all parties involved.

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.

Examining the impact of housing security on urban crime rates and aggregation: a Chinese case study

ABSTRACT Indemnificatory housing under the background of Housing Security helps to curb the rise of crime rates, but also attracts low-income groups. They have a demand for housing, but it is difficult for them to rely on their own to solve the housing problem. The aggregation of low-income groups will lead to a decrease in social norms and moral constraints, and will produce ‘Crime Aggregation’ effect. Using panel data from 31 provincial-level regions in China from 2012–2021, this paper explored the effect of Housing Security Level on the overall crime rate. Further, a multi-period double difference model was constructed to analyse whether the construction of affordable housing leads to crime aggregation. The results showed that the crime rate showed a decreasing trend as the Housing Security Level increased. There was no significant change in the crime rate in the Xi’an, China before and after the indemnificatory housing construction. Xi’an has a more rational spatial planning and is not densely built up, resulting in fewer conflicts; in addition, due to China’s local characteristics of its social structural system, residents come from different cities rather than different countries and races, which weakens the effectiveness of social disintegration and has minimal impact on crime.

Spatial, Temporal, and Explanatory Analyses of Urban Crime

Spatial, Temporal, and Explanatory Analyses of Urban Crime

Addressing Urban Management Challenges for Sustainable Development: Analyzing the Impact of Neighborhood Deprivation on Crime Distribution in Chicago

Urban crime prevention remains a critical challenge intertwined with socioeconomic disparities. This study investigates the spatial nexus between urban deprivation and crime decline in Chicago from 2015 to 2022, addressing the question: How do changes in neighborhood deprivation relate to crime reduction patterns? Using comprehensive crime incident and census tract Area Deprivation Index (ADI) data, this study conducted exploratory spatial analysis, regression modeling, and local bivariate relationship analysis. The findings reveal persistent hotspots of concentrated deprivation on Chicago’s south and west sides, alongside a general citywide crime decline. However, the current research uncovered significant spatial heterogeneity in both deprivation patterns and crime reduction, challenging the achievement of equitable public safety outcomes. Surprisingly, while crime incidents in 2015 and 2022 significantly predicted crime change, ADI scores were not statistically significant predictors in our regression model. Local bivariate analysis exposed diverse relationships between ADI changes and crime rate changes across neighborhoods, with 72.2% of census tracts showing no statistically significant relationship. This underscores the complexity of urban crime dynamics and the importance of local context in understanding these patterns. Our research contributes a nuanced understanding of the intricate relationship between urban deprivation and crime patterns, providing valuable insights for policymakers, law enforcement agencies, and urban planners. These findings highlight the need for integrated, long-term strategies that address both crime prevention and socioeconomic disparities, ultimately fostering safer, more equitable urban environments and informing evidence-based interventions tailored to specific neighborhood contexts.

The Nucleation-Annihilation Dynamics of Hotspot Patterns for a Reaction-Diffusion System of Urban Crime with Police Deployment

The Nucleation-Annihilation Dynamics of Hotspot Patterns for a Reaction-Diffusion System of Urban Crime with Police Deployment

Nexus Between Urban Crime and Unemployment in Nairobi City County, Kenya

Nexus Between Urban Crime and Unemployment in Nairobi City County, Kenya

From urban crime areas to urban resilience: lessons learned from Bandung City, Indonesia

From urban crime areas to urban resilience: lessons learned from Bandung City, Indonesia

The Hidden Connections of Urban Crime: A Network Analysis of Victims, Crime Types, and Locations in Rio de Janeiro

The Hidden Connections of Urban Crime: A Network Analysis of Victims, Crime Types, and Locations in Rio de Janeiro

An extensive study of security games with strategic informants

Over the past years, game-theoretic modeling for security and public safety issues (also known as security games) have attracted intensive research attention and have been successfully deployed in many real-world applications for fighting, e.g., illegal poaching, fishing and urban crimes. However, few existing works consider how information from local communities would affect the structure of these games. In this paper, we systematically investigate how a new type of players – strategic informants who are from local communities and may observe and report upcoming attacks – affects the classic defender-attacker security interactions. Characterized by a private type, each informant has a utility structure that drives their strategic behaviors.For situations with a single informant, we capture the problem as a 3-player extensive-form game and develop a novel solution concept, Strong Stackelberg-perfect Bayesian equilibrium, for the game. To find an optimal defender strategy, we establish that though the informant can have infinitely many types in general, there always exists an optimal defense plan using only a linear number of patrol strategies; this succinct characterization then enables us to efficiently solve the game via linear programming. For situations with multiple informants, we show that there is also an optimal defense plan with only a linear number of patrol strategies that admits a simple structure based on plurality voting among multiple informants.Finally, we conduct extensive experiments to study the effect of the strategic informants and demonstrate the efficiency of our algorithm. Our experiments show that the existence of such informants significantly increases the defender's utility. Even though the informants exhibit strategic behaviors, the information they supply holds great value as defensive resources. Compared to existing works, our study leads to a deeper understanding on the role of informants in such defender-attacker interactions.

Urban patterns and the geography of street robberies in the city of São Paulo, Brazil

The geography of urban crime has often been associated with the city's geography. In this study we analyze the geography of street robbery and its relation to the various urban patterns in the city of São Paulo. First, we analyze how different variables influence the spatial distribution of street robbery, using a combination of geospatial and statistical methodologies. Then, we analyze how these different variables behave over the city of São Paulo according to eight types of urban patterns. Finally, we interpret the resulting body of evidence considering existing criminological theory. Our results suggest that the geography of street robbery in São Paulo is a result of two main drivers: (1) accessibility and population flow, tied to key roadways in the city, and (2) social issues, tied to high murder rates and, in a smaller degree, low income. Within the city's geography, these two factors tend to not align spatially and are sometimes diametrically opposite. As we found, the geography of street robbery in São Paulo is a middle of the way between these two drivers, albeit closer to the social issues driver. We also discuss some policy implications and possibilities for future research.

Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities

Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities

Exploring the complex association between urban form and crime: Evidence from 1,486 U.S. counties

Urban form contributes to crime prevention. However, most studies not only simplify the relationship between urban form and crime, they also fail to reflect the geographic structure of urban areas. This study first measured a comprehensive multidimensional urban form indicator for 1486 counties in the United States, which was used to characterize the size and geospatial structure of urban areas. Specifically, it described urban form as consisting of three components: 1) size and population distribution; 2) built environment; and 3) landscape environment. Then, generalized additive mixed models were then used to explore linear or nonlinear associations between urban form indicators and different crime types (violent and property crime). This study's main findings were that 1) the relationship between urban form and crime is not only linear but may also be nonlinear; 2) urban size, fragmentation, connectivity, forest mixing, and shrub mixing are associated with all crime types; 3) population distribution and agricultural mixing are associated with violent crime; and 4) urban patch complexity and water mixing are associated with property crime. Overall, the results of this study can provide guidance for long-term planning of urban geographic structures, contributing to the safe and sustainable development of urban areas.

Urban greenspace and neighborhood crime

AbstractUrban greenspace (UGS) has been recently linked to public safety. Criminologists, however, have been largely absent from the discussion about this association, despite having important theoretical tools and empirical findings to contribute. In the current study, we review the prominent criminological perspectives that may be used to explain the association between UGS and crime. Furthermore, we draw from prior work to extend beyond the question of whether UGS affects crime to the more crucial question of when it does. Using a sample of block groups in Washington, D.C., we examine the association between two measures of UGS—tree canopy coverage and noncanopy vegetation coverage—and violent and property crime. We also assess the moderating effects of antecedents to social disorganization (poverty and homeownership) on the association between UGS and crime. Our results suggest that both types of UGS are associated with fewer crimes, even while controlling for a range of criminogenic factors. The effects of tree canopy coverage appear to be crime general, while the effects of noncanopy vegetation coverage only apply to violent crime. The effects of tree canopy, however, are weaker in communities characterized by high levels of poverty and low levels of homeownership.

How does digital finance reduce urban crime rate?

The fast development of digital finance led to profound changes in various aspects of social life, including social governance. This paper analyzes the impacts of digital finance on urban crime rates, focusing on the cost-benefit analysis of crime and verifying that digital finance can potentially decrease urban crime rates significantly. This impact is mainly attributed to digital money's transactional ease and convenience, which diminishes criminal activity by decreasing the expected return and raising opportunity costs. These findings offer novel insights into the impacts of digital finance and shed light on establishing a social governance mechanism in the digital era.