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Safe2Hail introduces a forensic-driven framework designed to enhance safety for ride-hailing passengers in Africa by providing post-trip tracking capabilities. This approach addresses critical safety gaps that arise after ride cancellations or premature terminations, where existing safety features cease to function. Beta testing indicates that Safe2Hail is both feasible and scalable, offering a lightweight solution that could significantly improve passenger safety in urban environments plagued by crime.
Post-trip safety measures could drastically reduce risks for ride-hailing passengers in high-crime areas, addressing a critical gap in current safety protocols.
Ride-hailing mobile apps have become an essential feature in the mobility ecosystem in Africa, offering much safer and much more affordable rides. Although user bases have increased and the number of daily trips has proliferated, reports of imminent safety threats, particularly after the cancellation of the ride or the ride is prematurely terminated, remain unresolved challenges. Current safety measures offer features such as SOS alerts, safety notifications, and live location sharing for the duration of the trip, but they are not in place when the trip is over. Safe2Hail presents a framework that is forensically driven to ensure continuous safety and certainty beyond the trip. The Safe2Hail framework combines forensic tracking with a temporary post-trip synchronization mechanism that can securely log all proximal data between a passenger and a driver after an event. The Safe2Hail framework was beta-tested and demonstrates the effectiveness of the system. Although the research team did not pilot on actual deployment, the Safe2Hail design format was in part inspired by actual crime events reported in Nairobi and Dar-es-Salaam. The findings of the study referenced Safe2Hail's feasibility, light weight nature of resources, as well as the scalability for the framework.
