👥 Society

Old Havana OpenStreetMap Mapping Sprint

In September 2016, a dozen OpenStreetMap Cuba volunteers spent six days mapping Old Havana's streets on foot, bike and motorcycle with phones, action cameras and Mapillary 360-degree rigs, covering an estimated 80-90% of the UNESCO-listed historic core and adding the imagery to the open Mapillary and OpenStreetMap databases.

Completed 📅 2016

🤖 AI-generated summary of the sources below — how this works · 🔎 Last verified 2026-08-02

👥 Society Open data

📊 Impact

Volunteers covered an estimated 80-90% of Old Havana's streets during the September 2016 sprint (Mapillary).

Evidence🏛️ Official

Scale🏘️ District

📖 Terms in this entry: Digital twin · GTFS (General Transit Feed Specification) · Open data

Sources

↗ OpenStreetMap Cuba (community)Collaborative dynamic open geodata repository mapping regional assets.

↗ Mapillary Blog (press)News coverage of the project.

↗ OpenStreetMap WikiFurther information on the project.

This overview was generated with AI from the public sources listed above and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

Continue exploring

Compare this project

🇰🇪 Map Kibera — Residents Surveying an Informal Settlement into OpenStreetMap · Nairobi Volunteer sprints putting an unmapped area on OpenStreetMap — Nairobi's informal settlement in 2009, Havana's UNESCO core in 2016. 🇹🇿 Ramani Huria Community Flood Mapping · Dar es Salaam Same donor playbook as Ramani Huria: volunteers on foot with phones and cameras, mapping streets no official survey had covered. 🇩🇪 Berlin 3D City Model & Digital Twin · Berlin Related through GIS & cadastre.

Explore the wider context

🏙️ Urban digital twins compared 📊 Open data guide 🏙️ Havana city profile 👥 Society projects

📎 Cite this project

1001 Smart Cities (2026). “Old Havana OpenStreetMap Mapping Sprint” — Havana, Cuba. The Smart City Atlas. https://1001smartcities.org/projects/havana-digital-mapping/ (last verified 2026-08-02). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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