Table 3 Performance of RTM Using PAI as the Forecasting Performance Measure
From: Systematic review and meta-analysis of risk terrain modelling (RTM) as a spatial forecasting method
| Study | Crime type | PAI |
|---|---|---|
| Kocher and Leitner (2015) | Auto theft | 1.71 |
| Ohyama and Amemiya (2018) | Thefts from vehicles | 1.87 |
| Giménez-Santana et al., (2018a, 2018b) | Homicide | 3.53 |
| Giménez-Santana et al., (2018a, 2018b) | Assault | 3.57 |
| Caplan et al., (2020) | Robbery | 3.61 |
| Kocher and Leitner (2015) | Burglary | 4.46 |
| Giménez-Santana et al., (2018a, 2018b) | Theft | 7.42 |
| Giménez-Santana et al., (2018a, 2018b) | Alcohol related traffic crashes | 9.1 |
| Kocher and Leitner (2015) | Robbery | 18.46 |
| Drawve et al., (2019) | Gun crime | 19.25 |
| Kocher and Leitner (2015) | Assault (summer) | 23.40 |
| Kocher and Leitner (2015) | Assault (spring) | 31.37 |
| Drawve (2016) | Robbery | 41.04 |