Roads to Rome

Data vis project exploring one of the biggest quests of mobility: Do all roads really lead to Rome?

All Roads to Rome in the EU
486.713 routes to Rome, 120cm × 80cm, lambda print / interactive web map

During my internship at moovel Lab, Benedikt Groß and I set out to explore if all roads really lead to Rome. We developed the tools necessary, calculated and designed several maps on the subject. Geographer Raphael Reimann put it all into context. See full credits

Along the way, we discovered that the United States have 9 cities which go by the name Rome. Calculating the routes to the nearest Rome(s) in the U.S. then lead us to reimagine state borders that follow mobility.

For detailed information, interactive maps, an “explore” app, media downloads, etc. head over to the project page: roadstorome.moovellab.com

120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print / interactive web map
120cm × 80cm, lambda print
120cm × 80cm, lambda print
120cm × 80cm, lambda print
120cm × 80cm, lambda print
Screenshot of Explore Web App
Screenshot of Explore Web App
Berlin, Urban Mobility Fingerprint and Street DNA graphs
Berlin, Urban Mobility Fingerprint and Street DNA graphs
San Francisco, Urban Mobility Fingerprint and Street DNA graphs
San Francisco, Urban Mobility Fingerprint and Street DNA graphs
Tokyo, Urban Mobility Fingerprint and Street DNA graphs
Tokyo, Urban Mobility Fingerprint and Street DNA graphs

Credits

Concept/Idea: Benedikt Groß and Philipp Schmitt
Programming/GIS: Benedikt Groß, Philipp Schmitt and Raphael Reimann
Documentation/Text: Philipp Schmitt and Raphael Reimann
Routing Engine: GraphHopper
Geospatial Analysis: turf.js
Interactive Maps leaflet.js, mapbox GL JS and tippecanoe
Backend/Tooling: node.js and mongoDB