Table 2 Performance of RTM using hit rate as the forecasting performance measure
From: Systematic review and meta-analysis of risk terrain modelling (RTM) as a spatial forecasting method
| Study | Crime type | Hit rate (high-very high risk cells) |
|---|---|---|
| Valasik et al., (2019) | Lethal violence | 23% |
| Kocher and Leitner (2015) | Burglary | 25% |
| Kocher and Leitner (2015) | Auto theft | 25.7% |
| Giménez-Santana et al., (2018a, 2018b) | Assault | 29% |
| Giménez-Santana et al., (2018a, 2018b) | Homicide | 32% |
| Valasik (2018) | Gang violence | 33% |
| Dugato et al., (2018) | Burglary | 35.7% |
| Kocher and Leitner (2015) | Assault (spring) | 37% |
| Anyinam (2015) | Robbery | 39% |
| Giménez-Santana et al., (2018a, 2018b) | Theft | 40% |
| Ohyama and Amemiya (2018) | Thefts from vehicles | 40.9% |
| Anyinam (2015) | Non-fatal shootings | 41% |
| Giménez-Santana et al., (2018a, 2018b) | Alcohol related traffic crashes | 41% |
| Caplan (2011) | Shootings | 42% |
| Dugato (2013) | Robbery | 43% |
| Onat and Gul (2018) | Terrorist acts | 43% |
| Kocher and Leitner (2015) | Robbery | 43.5% |
| Kocher and Leitner (2015) | Assault (summer) | 44.4% |
| Caplan et al., (2013a, 2013b) | Violent crime | 45% |
| Drawve et al., (2016) | Gun crime | 48% |
| Marchment et al., (2019) | Bombings | 50% |
| Marchment et al., (2019) | Bomb hoaxes | 50% |
| Daley et al., (2016) | Child maltreatment | 52% |
| Anyinam (2015) | Homicide | 57% |
| Escuerdo & Ramírez (2018) | Illicit drug markets | 64% |
| Dugato et al., (2017) | Mafia homicide | 85% |
| Onat et al., (2018) | Drug crime | 85% |