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Bringing the physical environment back into neighborhood research: The utility of RTM for developing an aggregate neighborhood risk of crime measure

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  • Drawve, Grant
  • Thomas, Shaun A.
  • Walker, Jeffery T.

Abstract

The current research examines the utility of risk terrain modeling (RTM) in developing an aggregate neighborhood risk of crime (ANROC) measure. RTM is often employed at the micro-place, forecasting future crime by street segment from attributes of the physical environment. Controlling for concentrated socioeconomic disadvantage and residential stability, we examine the ability of RTM to forecast neighborhood-level violent crime rates in Little Rock, Arkansas.

Suggested Citation

  • Drawve, Grant & Thomas, Shaun A. & Walker, Jeffery T., 2016. "Bringing the physical environment back into neighborhood research: The utility of RTM for developing an aggregate neighborhood risk of crime measure," Journal of Criminal Justice, Elsevier, vol. 44(C), pages 21-29.
  • Handle: RePEc:eee:jcjust:v:44:y:2016:i:c:p:21-29
    DOI: 10.1016/j.jcrimjus.2015.12.002
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    References listed on IDEAS

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    1. Warner, Barbara D., 2014. "Neighborhood factors related to the likelihood of successful informal social control efforts," Journal of Criminal Justice, Elsevier, vol. 42(5), pages 421-430.
    2. Burchfield, Keri B., 2009. "Attachment as a source of informal social control in urban neighborhoods," Journal of Criminal Justice, Elsevier, vol. 37(1), pages 45-54, January.
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    Cited by:

    1. Thomas, Shaun A. & Drawve, Grant, 2018. "Examining interactive effects of characteristics of the social and physical environment on aggravated assault," Journal of Criminal Justice, Elsevier, vol. 57(C), pages 89-98.
    2. Tara A. Smith & J. S. Onésimo Sandoval, 2019. "Examining the Local Spatial Variability of Robberies in Saint Louis Using a Multi-Scale Methodology," Social Sciences, MDPI, vol. 8(2), pages 1-25, February.
    3. Connealy, Nathan T. & Piza, Eric L., 2019. "Risk factor and high-risk place variations across different robbery targets in Denver, Colorado," Journal of Criminal Justice, Elsevier, vol. 60(C), pages 47-56.
    4. Eric Piza & Shun Feng & Leslie Kennedy & Joel Caplan, 2017. "Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context," Urban Studies, Urban Studies Journal Limited, vol. 54(13), pages 2998-3021, October.
    5. Valasik, Matthew, 2018. "Gang violence predictability: Using risk terrain modeling to study gang homicides and gang assaults in East Los Angeles," Journal of Criminal Justice, Elsevier, vol. 58(C), pages 10-21.
    6. Kingsley U. Ejiogu, 2023. "Risk Terrain and Multilevel Modeling of Street Robbery Distribution in Baltimore City," SAGE Open, , vol. 13(4), pages 21582440231, December.

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