Abstract
This study set out to determine the major causes of vehicle collisions in the City of Toronto and to propose solutions to the issue. We have made use of Toronto Open Data to gather statistics on wellbeing demographics, traffic, economics, and collisions. Data was analyzed and it was determined that six neighbourhoods deviated from the normal ratio of collisions to road volume. We researched these six neighbourhoods and determined that most accidents occur in commercial areas and the least accidents happen in residential areas. Residential areas are not areas where large amounts of people collect daily, but commercial areas are, and the high amounts of pedestrian movement within commercial areas coupled with vehicle traffic likely increases the chance of collisions. Vehicle accidents can be reduced in several ways, such as producing more PSAs, enforcing jaywalk prevention, reducing speeding and employing advents in driving technology such as driverless cars.
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