مقایسهٔ روشها
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| Crime Displacement and Diffusion Analysis× | Near-Repeat Analysis× | |
|---|---|---|
| حوزه | Criminology | Criminology |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش | 2003 | 2003 |
| پدیدآور≠ | Kate Bowers & Shane Johnson | Michael Townsley, Shane Johnson & Kate Bowers |
| نوع≠ | Quasi-experimental spatial impact assessment of crime prevention | Space-time clustering test for crime contagion |
| منبع بنیادین≠ | Bowers, K. J., & Johnson, S. D. (2003). Measuring the geographical displacement and diffusion of benefit effects of crime prevention activity. Journal of Quantitative Criminology, 19(3), 275–301. DOI ↗ | Townsley, M., Homel, R., & Chaseling, J. (2003). Infectious burglaries: A test of the near repeat hypothesis. British Journal of Criminology, 43(3), 615–633. DOI ↗ |
| نامهای دیگر | Crime Displacement Analysis, Diffusion of Benefits Analysis, Weighted Displacement Quotient, WDQ Analysis | Near Repeat Calculator Method, Space-Time Near-Repeat Analysis, Near-Repeat Victimization, Contagion Crime Pattern Analysis |
| مرتبط | 4 | 4 |
| خلاصه≠ | Displacement and diffusion analysis evaluates what happens around a crime-prevention intervention: does crime simply move to nearby areas, times, or targets (displacement), or do the benefits spill over so that crime also falls in surrounding untreated areas (diffusion of benefits)? Bowers and Johnson's weighted displacement quotient (WDQ) provides a simple, widely used metric that compares pre/post crime change in a target area, a surrounding buffer, and a control area. | Near-repeat analysis tests whether crimes cluster in space and time beyond chance: after a crime occurs, are nearby locations at elevated risk for a short period? Developed in the early 2000s by Townsley, Johnson, Bowers and colleagues for burglary, it formalizes the 'contagion' or 'communicable disease' pattern of crime using a Knox space-time test against a Monte Carlo reference distribution. |
| ScholarGateمجموعهداده ↗ |
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