Towards Crime Prevention Using Big Data Analytics: A Literature Review with an Explorative Case Study
Dokumenttyp:
Konferenzbeitrag
Autor(en):
Vassilakos, Andreas; Gottlieb, Matthias; Dawson, Maurice
Nicht-TUM Koautoren:
ja
Kooperation:
international
Abstract:
Since the popularization of the big data concept, it has been implemented in various areas. Contemporary literature has proved the potential of using big data in crime prevention. In this research paper, we examine research on big data being used in Crime Prevention while implementing an author-centric to a concept-centric research approach. We also present the foundation for future research by analyzing data derived from the City of Chicago. We identified the neighborhoods in Chicago that are statistically more prone to crimes and used data of the last 10 years to make our observations. We additionally provide further discussion points for future research purpose.
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Since the popularization of the big data concept, it has been implemented in various areas. Contemporary literature has proved the potential of using big data in crime prevention. In this research paper, we examine research on big data being used in Crime Prevention while implementing an author-centric to a concept-centric research approach. We also present the foundation for future research by analyzing data derived from the City of Chicago. We identified the neighborhoods in Chicago that are s...
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Stichworte:
Crime; Prevention; Big Data Analytics; Case Study; Literature Review