Does Automated Enforcement Presence Impact Collisions and Crime?
| Autor: | Tarek Sayed, Shewkar E. Ibrahim |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Injury control Mechanical Engineering 05 social sciences Human factors and ergonomics Poison control Suicide prevention Occupational safety and health Risk analysis (engineering) 0502 economics and business Injury prevention 0501 psychology and cognitive sciences Business Enforcement Limited resources 050107 human factors Civil and Structural Engineering |
| Zdroj: | Transportation Research Record: Journal of the Transportation Research Board. 2673:522-531 |
| ISSN: | 2169-4052 0361-1981 |
| DOI: | 10.1177/0361198119850459 |
| Popis: | Enforcement agencies generally operate under a strict budget and with limited resources. For this reason, they are continually searching for new approaches to maximize the efficiency and effectiveness of their deployment. The Data-Driven Approaches to Crime and Traffic Safety approach attempts to identify opportunities where increased visibility of traffic enforcement can lead to a reduction in collision frequencies as well as criminal incidents. Previous research developed functions to model collisions and crime separately, despite evidence suggesting that the two events could be correlated. Additionally, there is little knowledge of the implications of automated enforcement programs on crime. This study developed a Multivariate Poisson-Lognormal model for the city of Edmonton to quantify the correlation between collisions and crime and to determine whether automated enforcement programs can also reduce crime within a neighborhood. The results of this study found a high correlation between collisions and crime of 0.72 which indicates that collision hotspots were also likely to be crime hotspots. The results of this paper also showed that increased enforcement presence resulted in reductions not only in collisions but also in crime. If a single deployment can achieve multiple objectives (e.g., reducing crime and collisions), then optimizing an agency’s deployment strategy would decrease the demand on their resources and allow them to achieve more with less. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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