Eric L. Piza, Andrew P. Wheeler, Nathan T. Connealy, & Shun Q. Feng (2020) Criminology & Public Policy, 19(2): 653-684. Research BriefOpen Access Post PrintPublished ArticleData *This study was funded by the Professional Staff Congress – The City University of New York. Key Takeaways The Newark Police Department opened a police substation in their downtownContinue reading “Crime Control Effects of a Police Substation Within a Business-Improvement District: A Quasi-Experimental Synthetic Control Evaluation”
Eric L. Piza, Brandon C. Welsh, David P. Farrington, & Amanda L. Thomas (2019) Criminology & Public Policy, 18(1): 135-159 Research BriefOpen Access Post PrintPublished Article *This study was funded by the Swedish National Council for Crime Prevention Key Takeaways CCTV was associated with a ~13% reduction of crime in target areas as compared toContinue reading “CCTV Surveillance for Crime Prevention: A 40-Year Systematic Review with Meta-Analysis”
Eric L. Piza & Jeremy G. Carter, J. (2018) Justice Quarterly, 35(5): 842-870 Research BriefOpen Access Post PrintPublished Article *This study was supported by the Central Indiana Community Foundation, grant # 0000018207 Key Takeaways Near-repeat patterns were observed for both motor vehicle theft and residential burglary ~28% of motor vehicle thefts and ~37% of residentialContinue reading “Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft”
2020-2021Co-Principal Investigator: U.S. Department of State($306,720) PAGE UNDER CONSTRUCTION: Project description to be added soon.
David N. Hatten & Eric L. Piza (2020) Crime & Delinquency Open Access Post PrintPublished Article Study Abstract This study investigates the temporal stability of identified near-repeat patterns using robbery crimes data in Newark, NJ. With the noteworthy exception of Hoppe & Gerell (2019) scholars have yet to explore the temporal stability of identified spatiotemporalContinue reading “Measuring the Temporal Stability of Near-Repeat Crime Patterns: A Longitudinal Analysis”
Connealy, N., Piza, E. and Hatten, D. (2020) Justice Evaluation Journal, 3(1): 69-93 Published Article (Open Access) Study Abstract The study analyzed the criminogenic effect of legalizing recreational marijuana dispensaries in Denver. Street segments with recreational dispensaries experienced no changes in violent, disorder and drug crime but did experience an 18% increase in property crime,Continue reading “The Criminogenic Effect of Marijuana Dispensaries in Denver, Colorado: A Microsynthetic Control Quasi-Experiment and Cost-Benefit Analysis”
Haberman, C., Hatten, D., Carter, J. and Piza, E. (2021) Journal of Criminal Justice, 73: 1-12 Open Access Post PrintPublished Article Study Abstract Purpose: To determine if repeat and near repeat analysis is sensitive to the geocoding algorithm used for the underlying crime incident data. Methods: The Indianapolis Metropolitan Police Department provided 2016 crime incidentContinue reading “The Sensitivity of Repeat and Near Repeat Analysis to Geocoding Algorithms”
Welsh, B., Piza, E., Thomas, A. and Farrington, D. (2020) Journal of Contemporary Criminal Justice, 36(1): 56-69 Research BriefOpen Access Post PrintPublished Article PAGE UNDER CONSTRUCTION: Article description to be added soon.
by Piza, E. and Baughman, J. Redlands, CA: Esri Press. (In Progress, Under Contract) PAGE UNDER CONSTRUCTION: Book description to be added soon.
by Piza, E. and Welsh, B. London, UK: Routledge Press. (In Progress, Under Contract) PAGE UNDER CONSTRUCTION: Book description to be added soon.