Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
The City of Toronto operates one of the largest and most diverse fleets in North America. Despite City’s commitment to road safety, incidents involving municipal fleet vehicles remain a challenge. This project ultimately aims to reduce incidents and improve fleet safety among light-duty vehicle fleet drivers within the City’s Transportation Services Division by targeting risky driver behaviors. The specific objectives are: (1) to identify the root causes and risk factors contributing to preventable collisions, (2) to pinpoint driver behavior intervention opportunities that align with these causes, and (3) to pilot test a context-specific intervention. The proposed methodology encompasses a mixed-methods approach, beginning with a review of archival data (e.g. incident reports) and policy documents, followed by data collection through qualitative and/or quantitative methods with City personnel. These activities will inform a gap analysis and the development of tailored interventions, which will be evaluated for feasibility and impact. The findings will contribute to the scientific literature on fleet crash causation and behavioral interventions for fleet drivers.
Birsen Donmez
City of Toronto
Engineering
Health and Related Sciences & Technology; Public administration; Utilities
University of Toronto
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.