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Table 1 Included studies

From: Systematic review and meta-analysis of risk terrain modelling (RTM) as a spatial forecasting method

Authors

Crime type

City studied

Outcome measure

Anyinam (2015)

Violent crime

New Haven, Connecticut

Hit rate

Caplan (2011)

Shootings

Irvington, New Jersey

Hit rate

Caplan et al., (2013a, 2013b)

Violent crime

Irvington, New Jersey

Hit rate

Caplan et al., (2020)

Robbery

Brooklyn, New York

PAI

Caplan et al., (2011a, .2011b)

Shootings

Irvington, New Jersey

IRR

Daley et al., (2016)

Child maltreatment

Fort Worth, Texas

Hit rate

Drawve (2016)

Robbery

Little Rock, Arkansas

PAI

Drawve et al., (2016)

Gun crime

Little Rock, Arkansas

Hit rate

Odds ratio

PAI

Dugato et al., (2017)

Mafia homicide

Naples, Italy

Hit rate

Dugato et al., (2018)

Residential burglaries

Milan, Italy

Hit rate

Dugato (2013)

Robberies

Milan, Italy

Hit rate

Escudero and Ramírez (2018)

Illicit drug markets

Bogotá, Colombia

Hit rate

Garnier et al., (2018)

Robberies

Newark, New Jersey

Hit rate

Giménez-Santana et al., (2018a)

Alcohol related traffic crashes

Cádiz, Spain

Hit rate

PAI

Giménez-Santana et al., (2018b)

Violent crime

Bogotá, Colombia

Hit rate

Kennedy et al., (2011)

Shootings

Newark, New Jersey

Hit rate

Odds ratio

Kennedy et al., (2016)

Aggravated assault

Chicago, Illinois

IRR

Kocher and Leitner (2015)

Assault, auto theft, burglary and robbery

Salzburg, Austria

Hit rate

Marchment et al., (2019)

Bombings and bomb hoaxes

Belfast, Northern Ireland

Hit rate

Ohyama and Amemiya (2018)

Thefts from vehicles

Fukuoka, Japan

Hit rate

PAI

Onat and Gul (2018)

Terrorist acts

Istanbul, Turkey

Hit rate

Onat et al., (2018)

Drug

Ontario, Canada

Hit rate

Valasik (2018)

Gang violence

Los Angeles, CA

Hit rate

Valasik et al., (2019)

Lethal violence

Baton Rouge, Louisiana

Hit rate

Yerxa (2013)

Residential burglary

Pacific Northwest

Odds ratio