In this chapter, through a safe route selection example, we built a topological network using OSM data and Postgres with its PostGIS and pgRouting extensions. Using this network, we modeled the travel time to school from different locations on the road network and the students' travel to school, visualizing which routes were more and less frequently used. Finally, we added the contributed social network data on Twitter through a Python-based API, which we built using a typical Python build process. We then exported all the results using the same method as we did in the previous chapters: qgis2leaf. In the next chapter, we will explore the relationship between time and space and visualization through some new libraries.