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Profiling Illegal Waste Activity: Using Crime Scripts as a Data Collection and Analytical Strategy

Tompson, L; Chainey, S; (2011) Profiling Illegal Waste Activity: Using Crime Scripts as a Data Collection and Analytical Strategy. European Journal on Criminal Policy and Research , 17 (3) 179 - 201. 10.1007/s10610-011-9146-y. Green open access

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Abstract

The illegal treatment and trade of waste is an international problem which is widely assumed to be both evolving and growing. Emergent forms of criminality such as this often have the problem of data being in scarce supply, and as a result are difficult to study, and subsequently understand. In this paper we introduce the methodological concept of script analysis to assist a more objective assessment and understanding of illegal waste activity. This includes using crime scripts in two ways; to help identify data requirements, and as a tool to analyse illegal waste processes. We illustrate the utility of this methodology using waste electrical and electronic equipment. In doing so, we argue that this approach elicits a specific, focused account of what illegal activity has occurred, and nests it within the wider context of the waste management system. We anticipate that using this methodology will provide academics and practitioners a means of enhancing the investigation, detection and prevention of illegal waste activity.

Type:Article
Title:Profiling Illegal Waste Activity: Using Crime Scripts as a Data Collection and Analytical Strategy
Open access status:An open access version is available from UCL Discovery
DOI:10.1007/s10610-011-9146-y
Publisher version:http://dx.doi.org/10.1007/s10610-011-9146-y
Language:English
Additional information:The original publication is available at www.springerlink.com
Keywords:Crime analysis, Crime prevention, Green criminology, Script analysis, Waste electrical and electronic equipment (WEEE), ENVIRONMENTAL CRIMES, CRIMINOLOGY, PREVENTION
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Security and Crime Science

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