IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v82y2022ics0047235222000733.html
   My bibliography  Save this article

Property crime specialization in Detroit, Michigan

Author

Listed:
  • Felson, Marcus
  • Xu, Yanqing
  • Jiang, Shanhe

Abstract

Objectives: This paper examines whether different parts of a city “specialize” in different types of property crime. Data: The current paper combines police data from 2011 through 2015 to examine property crime specialization among Detroit's 879 block groups. Crime types include residential burglaries, non-residential burglaries, thefts from buildings, thefts from vehicles, and thefts of vehicles. Results: Only 22 block groups are hot spots for all five property crime types. Some 167 block groups are hot spots for only one of the five crime types. Conclusions: A hot spot for one type of property crime is not necessarily a hot spot for another. We discuss whether a “law of specialization” applies more generally to the urban analysis of crime.

Suggested Citation

  • Felson, Marcus & Xu, Yanqing & Jiang, Shanhe, 2022. "Property crime specialization in Detroit, Michigan," Journal of Criminal Justice, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jcjust:v:82:y:2022:i:c:s0047235222000733
    DOI: 10.1016/j.jcrimjus.2022.101953
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235222000733
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2022.101953?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hewitt, Ashley N. & Beauregard, Eric & Andresen, Martin A. & Brantingham, Patricia L., 2018. "Identifying the nature of risky places for sexual crime: The applicability of crime pattern and social disorganization theories in a Canadian context," Journal of Criminal Justice, Elsevier, vol. 57(C), pages 35-46.
    2. J Corcoran & R Zahnow & A Kimpton & R Wickes & C Brunsdon, 2021. "The temporality of place: Constructing a temporal typology of crime in commercial precincts," Environment and Planning B, , vol. 48(1), pages 9-24, January.
    3. Guangwen Song & Lin Liu & Wim Bernasco & Luzi Xiao & Suhong Zhou & Weiwei Liao, 2018. "Testing Indicators of Risk Populations for Theft from the Person across Space and Time: The Significance of Mobility and Outdoor Activity," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(5), pages 1370-1388, September.
    4. Larson, Matthew & Xu, Yanqing & Ouellet, Leah & Klahm, Charles F., 2019. "Exploring the impact of 9398 demolitions on neighborhood-level crime in Detroit, Michigan," Journal of Criminal Justice, Elsevier, vol. 60(C), pages 57-63.
    5. Malleson, Nick & Andresen, Martin A., 2016. "Exploring the impact of ambient population measures on London crime hotspots," Journal of Criminal Justice, Elsevier, vol. 46(C), pages 52-63.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daqian Liu & Wei Song & Chunliang Xiu & Jun Xu, 2021. "Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    2. Chris Brunsdon & Jonathan Corcoran, 2022. "Unveiling the relationship between land use types and the temporal signals of crime: An empirical decomposition approach," Environment and Planning B, , vol. 49(3), pages 847-865, March.
    3. Minxuan Lan & Lin Liu & Andres Hernandez & Weiyi Liu & Hanlin Zhou & Zengli Wang, 2019. "The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    4. Colette Smirniotis & Michael Henderson & Barbara A. Bailey & Rose M. C. Kagawa, 2022. "Crime and Building Rehabilitation or Demolition: A Dose-Response Analysis," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    5. Drawve, Grant & McNeeley, Susan, 2021. "Recidivism and community context: Integrating the environmental backcloth," Journal of Criminal Justice, Elsevier, vol. 73(C).
    6. Sinha, Avik & Sengupta, Tuhin, 2020. "Governance Quality and Tourism: Moderation of Social Determinants of Crime," MPRA Paper 102212, University Library of Munich, Germany, revised 2020.
    7. Langton, Samuel & Dixon, Anthony & Farrell, Graham, 2021. "Small area variation in crime effects of COVID-19 policies in England and Wales," SocArXiv cw6a4, Center for Open Science.
    8. Zhang, Yanji & Wang, Jiejing & Kan, Changcheng, 2022. "Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data," Journal of Transport Geography, Elsevier, vol. 98(C).
    9. Mletzko, Deborah & Summers, Lucia & Arnio, Ashley N., 2018. "Spatial patterns of urban sex trafficking," Journal of Criminal Justice, Elsevier, vol. 58(C), pages 87-96.
    10. Quick, Matthew & Li, Guangquan & Brunton-Smith, Ian, 2018. "Crime-general and crime-specific spatial patterns: A multivariate spatial analysis of four crime types at the small-area scale," Journal of Criminal Justice, Elsevier, vol. 58(C), pages 22-32.
    11. Álvaro Briz‐Redón & Jorge Mateu & Francisco Montes, 2022. "Identifying crime generators and spatially overlapping high‐risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 76(1), pages 97-120, February.
    12. Guangwen Song & Jiaqi Li & Chunxia Zhang & Jie Gu, 2022. "Residents’ Location-Based Fear of Theft and Their Impact Factors in Guangzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    13. Langton, Samuel & Dixon, Anthony & Farrell, Graham, 2021. "Small area variation in crime effects of COVID-19 policies in England and Wales," Journal of Criminal Justice, Elsevier, vol. 75(C).
    14. Naseer Ahmad & Ali Raza Elahi, 2023. "The Effectiveness of Promotion through Brochure Advertising on Merchandise Sales: A Case Study of Multiple Retail Stores of Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 732-740.
    15. Hipp, John R. & Kim, Young-An, 2019. "Explaining the temporal and spatial dimensions of robbery: Differences across measures of the physical and social environment," Journal of Criminal Justice, Elsevier, vol. 60(C), pages 1-12.
    16. Chong Xu & Zhenhao He & Guangwen Song & Debao Chen, 2024. "Unraveling the influence of income-based ambient population heterogeneity on theft spatial patterns: insights from mobile phone big data analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    17. Fangye Du & Lin Liu & Chao Jiang & Dongping Long & Minxuan Lan, 2019. "Discerning the Effects of Rural to Urban Migrants on Burglaries in ZG City with Structural Equation Modeling," Sustainability, MDPI, vol. 11(3), pages 1-13, January.
    18. Huafang Xie & Lin Liu & Han Yue, 2022. "Modeling the Effect of Streetscape Environment on Crime Using Street View Images and Interpretable Machine-Learning Technique," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    19. Zhanjun He & Rongqi Lai & Zhipeng Wang & Huimin Liu & Min Deng, 2022. "Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    20. Paul Emile Tchinda & Seung-Nam Kim, 2020. "The Paradox of “Eyes on the Street”: Pedestrian Density and Fear of Crime in Yaoundé, Cameroon," Sustainability, MDPI, vol. 12(13), pages 1-16, June.

    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:eee:jcjust:v:82:y:2022:i:c:s0047235222000733. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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.