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"URBAN CRIME"
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Women’s perception of urban insecurity in the Monterrey metropolitan area during COVID-19
The purpose of this paper it to explore women’s perception of urban insecurity prevailing during the COVID-19 pandemic in the Monterrey metropolitan area (MMA) in Mexico. In recent decades, large cities have grown and with them, so has crime increased. As a result, the issue of urban insecurity has become important, particularly during this COVID-19 pandemic. For this purpose, a cross-sectional, descriptive, non-probabilistic study was conducted involving 69 women aged 18 to 58, with Universidad Autónoma de Nuevo León being taken as the sample frame. Our findings show that 74% of the participants indicate that urban safety near their homes, ranges fair to very bad, while 81% feel the same about safety near their workplaces. Ninety- three per cent say that crime has increased. Meanwhile, 55% say that the situation has affected their quality of life severely to very severely, denoting the MAM population’s transition from one of social well-being to one of vulnerability, which has been further aggravated by the health contingency.
Journal Article
Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots
The increasing pervasiveness of ICT technologies and sensor infrastructures is enabling police departments to gather and store increasing volumes of spatio-temporal crime data. This offers the opportunity to apply data analytics methodologies to extract useful crime predictive models, which can effectively detect spatial and temporal patterns of crime events, and can support police departments in implementing more effective strategies for crime prevention. The detection of crime hotspots from geo-referenced data is a crucial aspect of discovering effective predictive models and implementing efficient crime prevention decisions. In particular, since metropolitan cities are heavily characterized by variable spatial densities of crime events, multi-density clustering seems to be more effective than classic techniques for discovering crime hotspots. This paper presents the design and implementation of MD-CrimePredictor (Multi- Density Crime Predictor), an approach based on multi-density crime hotspots and regressive models to automatically detect high-risk crime areas in urban environments, and to reliably forecast crime trends in each area. The algorithm result is a spatio-temporal crime forecasting model, composed of a set of multi-density crime hotspots, their densities and a set of associated crime predictors, each one representing a predictive model to forecast the number of crimes that are estimated to happen in its specific hotspot. The experimental evaluation of the proposed approach has been performed by analyzing a large area of Chicago, involving more than two million crime events (over a period of 19 years). This evaluation shows that the proposed approach, based on multi-density clustering and regressive models, achieves good accuracy in spatial and temporal crime forecasting over rolling prediction horizons. It also presents a comparative analysis between SARIMA and LSTM models, showing higher accuracy of the first method with respect to the second one.
Journal Article
Collusion
With charges of collusion sweeping across Capitol Hill, Abrianna Parker has been forced off the grid. By her side is ex-cop Kadir Kahlifa, a man as seductive as he is dangerous. In order to clear her name, the two team up with their group of rebels and revolutionaries. They need to burn through the deception and spin to uncover the truth-- before it costs more innocent lives. -- adopted from back cover.
Book
The Impact of the Digital Economy on Urban Population Crime Rates: Evidence from China’s Yangtze River Economic Belt
Amid accelerating global digitalization and technological transformation, the digital economy has emerged as a key driver of structural economic change. However, it also raises critical concerns related to the digital divide, information exclusion, and labor market restructuring, which may, in turn, affect social stability—most directly reflected in urban crime rates. This study systematically investigates the impact and mechanisms of the digital economy on urban crime rates in China’s Yangtze River Economic Belt. Through theoretical analysis and empirical testing using a fixed-effects panel regression model, we find that digital economy development exerts a significant long-term suppressive effect on urban crime rates. Mechanism tests confirm that digital infrastructure plays a crucial mediating role in this relationship. Moderation effect analysis reveals that the urban employed population strengthens the crime-suppressing effect, while the urban-rural income gap weakens it. Heterogeneity analysis further shows that the governance effect is more pronounced in cities with high carbon emissions and substantial digital divides. These findings highlight the importance of considering local socioeconomic conditions in digital governance and provide a nuanced understanding of the digital economy’s role in urban public safety.
Journal Article
From urban crime areas to urban resilience: lessons learned from Bandung City, Indonesia
The aim of this study was to determine the factors of urban crime and their impact on realizing urban resilience in Bandung City, Indonesia, and at the same time explore urban governance and policies in dealing with these problems. This research method uses a qualitative exploratory approach with an evidence-based approach and data analysis using the Nvivo 12 Plus tool. The results of the study show that there is a relationship between crime rates and resilience in Bandung City, in other words, people who have resilience have a much lower crime rate. In the criminal cases in Bandung City, it was found that the crime rates varied according to the social, economic, and physical characteristics of the city. Meanwhile, crime trends are visible in the deserted and seedy suburbs. To minimize these criminal acts, several billboards (crime warnings) and CCTV were distributed in several crime-prone areas in Bandung City by the Bandung City police. Although these efforts are still less significant in preventing and handling urban crimes in the city of Bandung, in the opinion of researchers it is more advisable to look at the root causes of the root causes of crimes that occur and carry out strategic resilience planning. This study can be useful for increasing knowledge both in the field of urban governance research and the field of public policy, and this description outlines the factors that cause urban crime.
Journal Article
The Cartel. 6, The demise
\"Las Vegas. A city built on obscene wealth and corrupt deals, cunning entrepreneurs, and the ruthless mob. The Cartel's plan to open a casino will rake in cash, but comes with great sacrifice. The stakes have never been this high, and rules of the game have never been this hard to manipulate. And when one dead girl, one scorned wife, and one hole in the desert launch a chain of catastrophic events, The Cartel is sent on a downward spiral as they battle the Arabian mob and fight traitors within their circle.\"
Book
Community and the Crime Decline: The Causal Effect of Local Nonprofits on Violent Crime
Largely overlooked in the theoretical and empirical literature on the crime decline is a long tradition of research in criminology and urban sociology that considers how violence is regulated through informal sources of social control arising from residents and organizations internal to communities. In this article, we incorporate the \"systemic\" model of community life into debates on the U.S. crime drop, and we focus on the role that local nonprofit organizations played in the national decline of violence from the 1990s to the 2010s. Using longitudinal data and a strategy to account for the endogeneity of nonprofit formation, we estimate the causal effect on violent crime of nonprofits focused on reducing violence and building stronger communities. Drawing on a panel of 264 cities spanning more than 20 years, we estimate that every 10 additional organizations focusing on crime and community life in a city with 100,000 residents leads to a 9 percent reduction in the murder rate, a 6 percent reduction in the violent crime rate, and a 4 percent reduction in the property crime rate.
Journal Article