Citation

Sieveneck S, Sutter C. Transp. Res. Interdiscip. Persp. 2021; 11: e100429.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.trip.2021.100429

PMID

unavailable

Abstract

Road traffic collisions are responsible for 1.35 million deaths per year in the World. Moreover, they are the main cause of death for young people. To reduce the hazardous impact of road traffic crashes, it is necessary to constantly improve road traffic safety policing. Predictive Policing is a new concept that seems to be effective in fighting crime. For this background, the objective of this review was to identify studies that used methods of predictive policing in the context of road traffic safety. The systematic search of four databases identified a total of six original research articles. The analysis of the included articles revealed that the predictive policing techniques of hot spot analysis and Risk Terrain Modeling (RTM) are used in research to identify possible high risk areas for future road traffic crashes. The best results were achieved by methods combining both hot spot analysis and RTM. However, there are no studies examining the effectiveness of preventive measures taken based on these models, thus the practical utility of the use of predictive policing is still an open question. Furthermore, no papers were found implementing other models or methods of predictive policing in the context of road traffic safety. In the interdisciplinary context of crime and crash prediction, the methodological and theoretical potential of predictive policing should be further explored. The integrated approach will be an effective way in fighting crime and crashes in the light of limited resources and increasing workload in law enforcement agencies.

Language: en

Keywords

Crash forecasting; Predictive policing; Traffic safety