With the advent of Information and Communication Technologies, the means of committing a crime and the crime itself are constantly evolved. In addition, the boundaries between traditional crime and cybercrime are vague: a crime may not have a defined traditional or digital form since digital and physical evidence may coexist in a crime scene. Furthermore, various items found in a crime scene ma...

This paper presents the findings from a review of the theoretical and empirical literature on the links between crime and fear of crime, the social and built environment, and health and wellbeing. A pragmatic approach was employed, with iterative stages of searching and synthesis. This produced a holistic causal framework of pathways to guide future research. The framework emphasises that crime...

Crime tends to cluster geographically. This has led to the wide usage of hotspot analysis to identify and visualize crime. Accurately identified crime hotspots can greatly benefit the public by creating accurate threat visualizations, more efficiently allocating police resources, and predicting crime. Yet existing mapping methods usually identify hotspots without considering the underlying corr...

In this article, the author addresses the spatial incompatibility between different types of data that is commonly faced in crime analysis research. Socioeconomic variables have been proved valuable in explaining crime behaviors and in predicting crime activities. However, socioeconomic data and crime statistics are usually collected and aggregated at different spatial zonations of geographical...

Crime prevention is the initiation and attempting to reduce, deter or remove crime and criminals. It includes the anticipation, recognition, and appraisal of making the right decision in crime risk. The decision support system (DSS) framework for decision making process has been developed to assist the decision makers. This research work is one of the efforts in crime prevention. The proposed f...

Crime pattern analysis has tended to focus on h̀otspot’ analysis techniques; the identi® cation of areas with higher densities of criminal activity. This paper documents a di€ erent approach to determination of hotspots and aims to present a conceptual framework for the temporal analysis of aoristic crime data. This analysis monitors the change in crime patterns over time and can be applied to a...

Transnational crime, sometimes called international crime or multinational systemic crime, is more than an extension of domestic crime. In the context of globalization, transnational organized crime groups respond to market incentives and operate with cooperative relationships, which makes the multinational criminal systems become more efficient and powerful. As a result, no single country has ...

The spatial analysis of crime and the current focus on hotspots has pushed the area of crime mapping to the fore, especially in regard to high volume offences such as vehicle theft and burglary. Hotspots also have a temporal component, yet police recorded crime databases rarely record the actual time of offence as this is seldom known. Police crime data tends, more often than not, to reflect th...

This paper explores the role of public institutions in reducing or fostering neighborhood violence and crime. Understanding institutional density as a neighborhood effect, this paper examines how ten public institutions and structures influence crime rates in Chicago. Using multivariate regression analysis and geo-coded spatial models, the relationship between the institutions and four differen...

In the 1990s, while there was a large decline in property-related crime along the U.S.Mexico border, violent crime rates began to converge to the national average. At the same time, legal and illegal immigration from Mexico surged and border enforcement rose to unprecedented levels. In this paper, we investigate the relationship between border county crime rates, immigration and enforcement sin...