GRAFMOVE: Graph-based Mobility Optimization and Visualization Engine

Traditional pedestrian routing systems prioritize finding the shortest path, often neglecting user preferences and contextual factors such as green spaces or safety concerns. To address this limitation, we present GRAFMOVE, a customizable routing system that leverages Neo4j and OpenStreetMap data to integrate dynamic, user-specific criteria into pathfinding. GRAFMOVE constructs a footpath graph enriched with contextual data and implements a flexible cost function, enabling users to balance path length with personalized factors. The system includes an interactive dashboard for real-time route visualization and optimization. We demonstrate GRAFMOVE's capabilities through case studies, including Point Of Interest-based routing for tourists and personalized green path recommendations. Our approach advances pedestrian routing by offering a scalable, adaptable solution.