Road traffic collisions pose a significant public health challenge, and controlling vehicle speed is a crucial factor in enhancing road safety. Excessive speed not only endangers drivers but also presents substantial risks to vulnerable road users. Automatic Speed Enforcement (ASE), employing cameras and sensors to detect speeding vehicles, has emerged as an effective strategy. This research focuses on evaluating the impact of ASE in a medium-sized Canadian city, considering the socio-economic diversity across neighborhoods.

The city of Guelph, reflecting varying collision rates and safety infrastructure distributions, serves as a key location for this study. Leveraging diverse data sources, including speed records, offender postal codes, and marginalization indices, the research employs quasi-experimental analyses to: assess pre-existing traffic speed differences; explore the impact of ASE across neighborhoods with different levels of marginalization, and determine whether offenders reside in the camera-equipped neighborhoods.

Led by a multidisciplinary team with expertise in public health, epidemiology, and biostatistics, this research aims to contribute valuable insights into ASE deployment, particularly in terms of social equity. Partnering with city authorities ensures the translation of findings into practical policies, making the study a potential nationwide reference for equitable ASE implementation initiatives. The expected responsibilities of the student will be:

• Data Cleaning : Ensure accuracy and consistency in the dataset by meticulously cleaning and validating the data.
• Data Integration: Merge data from diverse sources to create a unified dataset, facilitating comprehensive and holistic analysis.
• Data Visualization: Proficiently employ data visualization techniques to convey insights effectively, making complex information easily understandable.
• Communication and Collaboration : Facilitate effective collaboration among team members, ensuring seamless information exchange and understanding.