MultiRide: A Unified Multi-Service Mobility Platform

Urban commuters in emerging markets must manage fragmented digital ecosystems, switching between separate applications for ride-hailing, fuel purchase, and vehicle repair. This fragmentation can result in application fatigue, duplicated payment infrastructure, data silos, and inconsistent service and safety mechanisms. This paper presents MultiRide, a full-stack multi-service mobility platform that integrates four ride categories—bike, car, auto-rickshaw, and taxi—with two complementary services, namely fuel delivery and on-demand mechanic assistance, within a single application. The platform is implemented using Node.js, Express.js, and MongoDB with WebSocket-based real-time tracking. It incorporates a weighted ride-matching algorithm, a demand-sensitive dynamic fare model, Dijkstra-based route optimization, and a priority-queued emergency response mechanism. System testing covering unit, integration, performance, and user acceptance levels achieved a 95%+ pass rate across more than 150 test cases. A load test involving 1,000 concurrent users produced a mean response time of 1.8 seconds. The design is positioned within the Mobility as a Service (MaaS) literature, which identifies service integration, technical implementation, and field validation as continuing research challenges, particularly in Global South contexts. The paper contributes a reference architecture for service-level integration in a multi-service mobility platform, implementation-level algorithms, and an empirical evaluation of technical feasibility under controlled synthetic workloads.