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Modelling Urban Crime through Workforce Size: A Test of the Activity Support Concept

Author

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  • Lorena Montoya

    (Department of Services, Cyber-security and Safety, University of Twente, PO Box 217, 7500AE, Enschede, The Netherlands)

Abstract

Crime has not figured strongly in urban planning agendas, it has been more of an afterthought. The consequences of this are property losses, psychological impact, high insurance premiums, and large police forces. There has been a gradual shift from the study of the offender to that of the victimized object. Most design-related efforts have been directed at the building and few at the neighbourhood or city level. There are opposing views regarding the effect of land use on crime. This research studies the relationship between the extent of economic activities and services and five types of crime using data from Utrecht in Holland. The findings show that (a) a relationship does exist, (b) the effect of some sectors is constant across crime types, and (c) some activities have a positive relation whilst others a negative relation with crime. The implications of these findings for planning and crime prevention are discussed.

Suggested Citation

  • Lorena Montoya, 2015. "Modelling Urban Crime through Workforce Size: A Test of the Activity Support Concept," Environment and Planning B, , vol. 42(3), pages 399-414, June.
    • Handle: RePEc:sae:envirb:v:42:y:2015:i:3:p:399-414
    DOI: 10.1068/b120068p
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    References listed on IDEAS

    as
    1. Paul Cozens, 2011. "Urban Planning and Environmental Criminology: Towards a New Perspective for Safer Cities," Planning Practice & Research, Taylor & Francis Journals, vol. 26(4), pages 481-508.
    2. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    3. Eric D. Gould & Bruce A. Weinberg & David B. Mustard, 2002. "Crime Rates And Local Labor Market Opportunities In The United States: 1979-1997," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 45-61, February.
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