Topic > The importance of places in crime prevention - 1151

In recent decades, both the nature of criminals and offenders have played a crucial role in guiding thinking about crime prevention and crime prevention techniques ( Eck & Weisburd, 1995; Cornish & Clarke, 2003). While many contributions have been made to crime prevention, it is important to focus on those that work. As a result, criminologists and crime prevention professionals have become increasingly aware of the importance of place in crime prevention (Eck & Weisburd, 1995). Offenders choose to take advantage of limited crime opportunities where crime is low risk, easy, rewarding, socially encouraged or provoked. (Clarke, 2008). By facilitating these criteria, a particular location can impact the likelihood of such criminal events occurring. Correctly identifying the many circumstances that can influence criminal decision-making in a problem area is critical to the success of analyzes and the eventual mitigation of crime problems. Crimes and crime patterns vary across space and time. Crime can also be facility specific. For example, not all apartment complexes have the same type or frequency of crime. To address these differences, Eck and Clarke (2007) outline seven factors believed to influence a facility's risk of crime events as high or low, including: variation in size, location, attractive products, crime attractors, repeat victimisation, poor management and poor planning and layout. While there is no specific reason for the variations between similar facilities, it remains important to determine the contributing characteristics of each so that appropriate crime prevention measures can be prescribed (Eck & Clarke, 2007; Eck, Clarke, & Petrossain, 2013). Across all disciplines, analytics are used for problem solving. Make it risky......middle of paper......opportunity makes the thief: Practical theory for crime prevention. In B. Webb (series ed.), Police Research Series, Paper 98. London: HomeOffice.Iwanski, N., Frank, R., Reid, A., & Dabbaghian, V. (2012). A computational model for predicting the location of crime attractors on a road network. In N. Memon and D. Zeng (Eds.), 2012 European Intelligence and Security Computing Conference (EISIC 2012). Paper presented at the European Intelligence and Security Informatics Conference 2012, University of Southern Denmark, Odense, Denmark, 22-24 August (pp. 60-67). Piscataway, NJ: Institute of Electrical Engineers. Mazerolle, L. G., Kadleck, C., & Roehl, J. (1998). Controlling drug and disorder problems: the role of venue managers. Criminology, 36 (2), 371-404.McCleary, R. (2008). Rural hotspots: The case of adult businesses. Criminal Justice Policy Review, 19 (2), 153-163.