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Estimating crime in place: Moving beyond residence location

Author

Listed:
  • Cernat, Alexandru
  • Buil-Gil, David

    (University of Manchester)

  • brunton-smith, ian
  • Pina-Sánchez, Jose

    (University of Leeds)

  • Murrià-Sangenís, Marta

Abstract

We assess if asking victims about the places where crimes happen leads to estimates of ‘crime in place’ with better measurement properties. We analyse data from the Barcelona Victimization Survey (2015 to 2020) aggregated in 73 neighbourhoods using longitudinal quasi-simplex models and criterion validity to estimate the quality of four types of survey-based measures of crime. The distribution of survey-based offence location estimates, as opposed to victim residence estimates, is highly similar to police-recorded crime statistics, and there is little trade off in terms of the reliability and validity of offence location and victim residence measures. Estimates of crimes reported to the police show a better validity, but their reliability is lower and capture fewer crimes.

Suggested Citation

  • Cernat, Alexandru & Buil-Gil, David & brunton-smith, ian & Pina-Sánchez, Jose & Murrià-Sangenís, Marta, 2021. "Estimating crime in place: Moving beyond residence location," SocArXiv gx9a7, Center for Open Science.
    • Handle: RePEc:osf:socarx:gx9a7
    DOI: 10.31219/osf.io/gx9a7
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    References listed on IDEAS

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    1. Gutiérrez, Javier & García-Palomares, Juan Carlos & Romanillos, Gustavo & Salas-Olmedo, María Henar, 2017. "The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona," Tourism Management, Elsevier, vol. 62(C), pages 278-291.
    2. 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.
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