IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v3y2012i4p69-86.html
   My bibliography  Save this article

Space-Time Analysis of Auto Burglary Patterns in a Fast-Growing Small City

Author

Listed:
  • Ling Wu

    (Zhongnan University of Economics & Law, China)

  • Xinyue Ye

    (Center for Regional Development & School of Earth, Environment and Society, Bowling Green State University, Bowling Green, OH, USA)

  • David Webb

    (Law Enforcement Management Institute of Texas, Huntsville, TX, USA)

Abstract

Auto burglary is a rising concern for small cities that rely so highly on revenues from malls and shopping. The fear of auto burglary dispels possible business partners, shoppers, and workers. This piece of research was conducted in Shenandoah, a small city near Houston, Texas. Shenandoah has been experiencing a fast-growing economy and annexation process. The research highlights the potency of space-time analysis for the local police department. The paper describes the temporal trends of auto burglary offenses. Hot spots of auto burglary offenses in different time periods are identified, which provide a clue for police to prioritize limited resources. In addition, this project analyzes the repeatability of auto burglary incidents in the same locations. The space-time analysis reveals that, once an auto burglary incident occurred, one week is the optimal time period for police to actively patrol, or adopt other preventive strategies on the same location to deter the potential follow-up auto burglaries.

Suggested Citation

  • Ling Wu & Xinyue Ye & David Webb, 2012. "Space-Time Analysis of Auto Burglary Patterns in a Fast-Growing Small City," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 3(4), pages 69-86, October.
    • Handle: RePEc:igg:jagr00:v:3:y:2012:i:4:p:69-86
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jagr.2012100104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yicheng Tang & Xinyan Zhu & Wei Guo & Xinyue Ye & Tao Hu & Yaxin Fan & Faming Zhang, 2017. "Non-Homogeneous Diffusion of Residential Crime in Urban China," Sustainability, MDPI, vol. 9(6), pages 1-17, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jagr00:v:3:y:2012:i:4:p:69-86. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.