Data Enforced: An Exploratory Impact Analysis of Automated Speed Enforcement in the District of Columbia
Awad Abdelhalim, Linda Bailey, Emily Dalphy, Kelli Raboy

TL;DR
This study evaluates the impact of Automated Speed Enforcement in Washington, D.C., demonstrating safety benefits and providing a framework for assessing ASE systems to support policy decisions aligned with Vision Zero goals.
Contribution
It offers an exploratory analysis of ASE's effects on traffic safety and proposes a comprehensive evaluation approach for future ASE system assessments.
Findings
ASE reduces traffic crashes and speeding violations.
Analysis confirms safety benefits of ASE systems.
Provides a blueprint for impact evaluation methods.
Abstract
In 2015, the District of Columbia framed a Vision Zero mission and action plan, with a target of achieving zero traffic fatalities by 2024. This study examines the impacts of Automated Speed Enforcement (ASE) and its role in achieving the goals of Vision Zero. Independent datasets containing detailed information about traffic crashes, ASE camera locations, and citation records, and driving speeds across the District's streets were collected, combined, and analyzed to identify patterns and trends in crashes, speed limit violations, and speeding behavior before and after the ASE camera installation. The results of this exploratory analysis confirm the safety benefits of ASE systems in Washington, D.C. The study also provides a blueprint for the different means of evaluating the short-term impact of ASE systems using different data sources which can aid practitioners in better evaluating…
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