The point break effect: an examination of surf, crime, and transitory opportunities.
Opportunity theories of crime suggest that crime is highly specific and concentrated in time and space. Using these theories as a framework, this paper seeks to examine the transitory nature of crime. This hypothesis was tested using data from a coastal city in California to examine the relationship...
| Publicado en: | Criminal Justice Studies Vol. 28; no. 3; pp. 257 - 280 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Sep2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=103188140&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 103188140 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1478601X RF4 jtl: Criminal Justice Studies issn: 1478601X maglogo: Y pubinfo: dt: Sep2015 vid: 28 iid: 3 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 103188140 10.1080/1478601X.2015.1032409 ppf: 257 ppct: 23 formats: tig: atl: The point break effect: an examination of surf, crime, and transitory opportunities. aug: au: Dario, Lisa M. Morrow, Weston J. Wooditch, Alese Vickovic, Samuel G. affil: School of Criminology and Criminal Justice, Arizona State University, Phoenix, AZ85004, USA Center for Evidence-Based Crime Policy, George Mason University, Fairfax, VA22030, USA Department of Criminal Justice, California State University – Long Beach, Long Beach, CA90840, USA su: California Crime prevention Spacetime Prediction models Acquisition of data sug: subj: Crime prevention California Spacetime Prediction models Acquisition of data keyword: hot spots hot times opportunity policing predictive policing routine activities hot spots hot times opportunity policing predictive policing routine activities ab: Opportunity theories of crime suggest that crime is highly specific and concentrated in time and space. Using these theories as a framework, this paper seeks to examine the transitory nature of crime. This hypothesis was tested using data from a coastal city in California to examine the relationship between surf conditions (measured at five daily time points) and number of crime incidents (n = 16,075). Crime totals were aggregated at the street segment level (n = 4551) for each day in 2011. These data were modeled using a series of panel negative binomial models, clustered by census block group. The findings suggest that surf conditions had an effect on the likelihood of crime incidents, but these effects were time specific. Favorable surf conditions were associated with increases in crime only between 2:30 pm and 5:29 pm. Additionally, locations closer to surf spots were associated with more crime, relative to locations farther away. Closer examination of micro-geographies aids in understanding how systematic shifts in routine activities affect the frequency and location of crime, and allows crime prevention to be more specialized and efficient. Adding to the extant understanding of hot times and opportunity structures will enable more effective allocation of resources and predictive policing efforts. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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