Streamlining Data Improvement and Quality Check for Pedestrian Map Data on OpenStreetMap: Milano Case Study
07-19, 14:30–14:50 (Poland), Room CA3

Collaborative and streamlined approach to ensure data improvement and quality enhancement for pedestrian map data on OSM, utilizing the MapRoulette challenge framework and collaborative governance.

In the rapidly evolving world of OpenStreetMap, ensuring the completeness and quality of pedestrian map data is crucial for a wide range of applications, from urban planning to accessibility improvements.

The governmental organization (AMAT), local OpenStreetMap communities (Wikimedia Italia and PoliMappers), and the companies (Meta and TomTom) have collaborated to streamline the improvement and quality checks of pedestrian map data on OpenStreetMap for Milan, Italy.
This collaboration aimed to complete and maintain the pedestrian map data infrastructure on OpenStreetMap in the working area. Collaborative and innovative approaches included automating crosswalk detection from high-resolution imagery, introducing pedestrian map data quality checks, and streamlining quality checks with MapRoulette and the active local community to address data improvement and quality issues. Our work has made Milan one of the most complete cities in Europe in terms of pedestrian map data infrastructure.

In this talk, we will share the most common data issues found in pedestrian map data, the methodology used to streamline data quality projects with MapRoulette challenges, strategies for improving missing data on OSM, community activation strategies, project outputs, and how to disseminate.

I'm a passionate Geomatics Engineer, OpenStreetMap contributor and community builder. I love building maps and solving community problems by using my geospatial knowledge. I evangelize open data initiatives and develop the OSM community growth strategies for Türkiye. Currently, I’m working as Project Manager at Meta’s Mapping team and based in London, United Kingdom.