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 |
Homicide | 3.53 | |
Assault | 3.57 | |
Caplan et al., (2020) | Robbery | 3.61 |
Kocher and Leitner (2015) | Burglary | 4.46 |
Theft | 7.42 | |
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 |