The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Robberies in Chicago: A Block-Level Analysis of the Influence of Crime Generators, Crime Attractors, and Offender Anchor Points
Abstract
The effects of crime generators, crime attractors, and offender anchor points on the distribution of street robberies across the nearly 25,000 census blocks of Chicago are examined. The analysis includes a wide array of activities and facilities that are expected to attract criminals and generate crime. These include a variety of legal and illegal businesses and infrastructural accessibility facilitators. In addition to these crime attractors and generators, the role of the presence of motivated offenders’ anchor points, as measured by offenders’ residence and gang activity, is assessed. The analysis also includes crime attractors, crime generators, and offender anchor points in adjacent census blocks. The findings demonstrate the strength of the effects of crime generators and attractors and offender anchor points on the frequency of street robbery at the census block level.
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Cites
Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997) · Science · doi:10.1126/science.277.5328.918 · Cited by 11,999
A Caution Regarding Rules of Thumb for Variance Inflation Factors
O’brien, R. M. (2007) · Quality & Quantity · doi:10.1007/s11135-006-9018-6 · Cited by 11,217
A Computer Movie Simulating Urban Growth in the Detroit Region
Tobler, W. R. (1970) · Economic Geography · doi:10.2307/143141 · Cited by 9,719
Spatial Econometrics: Methods and Models
Anselin, L. (1988) · Studies in Operational Regional Science · doi:10.1007/978-94-015-7799-1 · Cited by 9,274
HOT SPOTS OF PREDATORY CRIME: ROUTINE ACTIVITIES AND THE CRIMINOLOGY OF PLACE*
SHERMAN, L. W., GARTIN, P. R., & BUERGER, M. E. (1989) · Criminology · doi:10.1111/j.1745-9125.1989.tb00862.x · Cited by 2,104
Criminality of place: Crime generators and crime attractors
Brantingham, P., & Brantingham, P. (1995) · European Journal on Criminal Policy and Research · doi:10.1007/bf02242925 · Cited by 1,165
Poisson-Based Regression Analysis of Aggregate Crime Rates
Osgood, D. W. (2000) · Journal of Quantitative Criminology · doi:10.1023/a:1007521427059 · Cited by 1,085
TRAJECTORIES OF CRIME AT PLACES: A LONGITUDINAL STUDY OF STREET SEGMENTS IN THE CITY OF SEATTLE*
WEISBURD, D., BUSHWAY, S., LUM, C., & YANG, S. (2004) · Criminology · doi:10.1111/j.1745-9125.2004.tb00521.x · Cited by 854
RONCEK, D. W., & MAIER, P. A. (1991) · Criminology · doi:10.1111/j.1745-9125.1991.tb01086.x · Cited by 678
STRUCTURAL COVARIATES OF U.S. COUNTY HOMICIDE RATES: INCORPORATING SPATIAL EFFECTS*
BALLER, R. D., ANSELIN, L., MESSNER, S. F., DEANE, G., & HAWKINS, D. F. (2001) · Criminology · doi:10.1111/j.1745-9125.2001.tb00933.x · Cited by 479
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A class of spatially correlated self-exciting statistical models
Clark, N. J., & Dixon, P. M. (2021) · Spatial Statistics · doi:10.1016/j.spasta.2021.100493 · Cited by 21
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Metadata
- Authors
- Bernasco, W., & Block, R.
- Venue
- Journal of Research in Crime and Delinquency
- Publisher
- SAGE Publications
- Published
- 2010-12-05
- Volume
- 48
- Issue
- 1
- Pages
- 33-57
- ISSN
- 0022-4278 (ISSN-L)
- 1552-731X
- OpenAlex
- W2135008766
- Cited by
- 478
- References
- 31
- FWCI
- 30.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
