The document describes a running routes finder app that would provide personalized route recommendations based on a user's home address. It would use OpenStreetMap data on street networks and Boston crime incident reports to generate routes that balance factors like crime levels, length, and avoiding retreading the same routes. The document outlines the data sources, challenges in finding an efficient search method, and how a cost function could incorporate different priorities like crime, length, and novelty to provide customized optimal paths.