A Collaborative Approach to Solve The Right Problem
DRIVER, the Data for Road Incident Visualization, Evaluation, and Reporting platform, was brought to life through active collaboration with multiple countries and government organizations. Starting with research in the Philippines, our team met with a number of police, road safety, public works, and other groups in Manila to understand the process for reporting and evaluating road accidents. After a series of small group interviews, onsite observation sessions, and interagency workshops, DRIVER's initial concept was conceived.
DRIVER had several initial goals: aggregate data collection across agencies to make it easier to coordinate improvement efforts, streamline the process for data entry in the field and at agency headquarters (working with often outdated or inconsistency hardware and software constraints), and use machine learning to identify road "blackspots"—locations where accidents are most likely to occur—and model potential interventions. To define the scope and align several government agencies, we shared our research findings through a series of design thinking workshops onsite in Manila that focused on feature prioritization and defining an early prototype to create and test. Over one week, we were able to rapidly prototype and test concepts for DRIVER's initial insights dashboard and mobile apps using interactive prototyping tools on both desktop and mobile wireframes.
Want to learn more?
Curious about the research that kicked off this project? Read the World Bank's report to learn more about the global impact of road accidents on urban environments.