EasyPark is an intelligent service system designed to address non-motor vehicle parking chaos and supply-demand imbalances within the last 100 meters of Guangzhou Metro stations. Targeting occasional parkers who face high decision uncertainty in unfamiliar environments, the project replaces reactive penalties with pre-emptive information and behavioral nudges to guide orderly parking under time pressure. The system integrates three core touchpoints: physical smart parking guidance infrastructure providing real-time visual cues, a mobile app offering predictive navigation and decision support, and a backend dashboard serving as an urban mobility intelligence platform. By connecting riders, operators, enforcement personnel, and urban planners through spatial data, EasyPark transforms static parking areas into a real-time readable environment. Ultimately, this comprehensive solution reduces sidewalk congestion, restores pedestrian access, and enhances urban governance in alignment with UN Sustainable Development Goal 11.

Academic Supervisor : Prof. Shera Hyunyim Park, Joel Cunningham