Using Bayesian Tobit Models to Understand the Impact of Mobile Automated Enforcement on Collision and Crime Rates

Using Bayesian Tobit Models to Understand the Impact of Mobile Automated Enforcement on Collision and Crime Rates

The Data Driven Approaches to Crime and Traffic Safety approach identifies opportunities where a single enforcement deployment can achieve multiple objectives: reduce collision and crime rates. Previous research focused on modeling both events separately despite evidence suggesting a high correlatio...

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Bibliographic Details
Main Authors: Shewkar Ibrahim, Tarek Sayed
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
Mobile Automated Enforcement
traffic safety
Tobit model
random parameter
multivariate
collision rates
Online Access:https://www.mdpi.com/2071-1050/13/11/6422

Internet

https://www.mdpi.com/2071-1050/13/11/6422

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