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CRIMINOLOGY

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Posts tagged environment and crime
Environmental Criminology and Crime Analysis

MAY CONTAIN MARKUP

Edited by Richard Wortley and Lorraine Mazerolle

Environmental criminology is a generic label that covers a range of overlapping perspectives. At the core, the various strands of environmental criminology are bound by a common focus on the role that the immediate environment plays in the performance of crime, and a conviction that careful analyses of these environmental influences are the key to the effective investigation, control and prevention of crime.

Environmental Crime and Crime Analysis brings together for the first time the key contributions to environmental criminology to comprehensively define the field and synthesize the concepts and ideas surrounding environmental criminology. The chapters are written by leading theorists and practitioners in the field. Each chapter will analyze one of the twelve major elements of environmental criminology and crime analysis. This book will be essential reading for both practitioners and undergraduate and postgraduate students taking courses in this subject.

Routledge, 2008, 294 pages

Advances in Spatial Criminology: The Spatial Scale of Crime

By John R. Hipp and Seth A. Williams

This review takes stock of recent advances, as well as enduring and emerging challenges, in the area of spatial criminology. Although the notions of place and space are fundamentally intertwined, spatial criminology is distinct in its attempt to measure and theorize explicitly spatial processes and relationships. This review highlights three key themes. First, the use of increasingly smaller geographic units in recent research creates an even greater need to account for spatial behavior of persons when studying the location of crime. Second, although the explosion of spatially precise data in recent years presents exciting possibilities, we argue that theory is falling behind in guiding us in analyzing these new forms of data, and explicitly inductive approaches should be considered to complement existing deductive strategies. Third, an important direction for spatial criminology in the next decade is considering the extent to which micro- and mesolevel processes operate invariantly across different macro contexts.

Annual Review of Criminology, 3(1), 2020.

Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities

By Marco De Nadai, Yanyan Xu, Emmanuel Letouzé, Marta C. González & Bruno Lepri

Nowadays, 23% of the world population lives in multi-million cities. In these metropolises, criminal activity is much higher and violent than in either small cities or rural areas. Thus, understanding what factors infuence urban crime in big cities is a pressing need. Seminal studies analyse crime records through historical panel data or analysis of historical patterns combined with ecological factor and exploratory mapping. More recently, machine learning methods have provided informed crime prediction over time. However, previous studies have focused on a single city at a time, considering only a limited number of factors (such as socio-economic characteristics) and often at large in a single city. Hence, our understanding of the factors influencing crime across cultures and cities is very limited. Here we propose a Bayesian model to explore how violent and property crimes are related not only to socio-economic factors but also to the built environment (e.g. land use) and mobility characteristics of neighbourhoods. To that end, we analyse crime at small areas and integrate multiple open data sources with mobile phone traces to compare how the different factors correlate with crime in diverse cities, namely Boston, Bogotá, Los Angeles and Chicago. We fnd that the combined use of socio-economic conditions, mobility information and physical characteristics of the neighbourhood effectively explain the emergence of crime, and improve the performance of the traditional approaches. However, we show that the socio-ecological factors of neighbourhoods relate to crime very differently from one city to another. Thus there is clearly no “one fits all” model.

Scientific Reports volume 10, Article number: 13871 (2020).