evidoria

← Back to browse

Good practice Imported

Freetown Urban Data & Community Drone-Mapping Programme

Sierra Leone · Freetown · See the Sierra Leone profile · See the Freetown profile

Evidence: Observational / pre–post Top 21% 81/100 · Ask Evidence Copilot about this practice

Freetown mapped 4,038 km of formal and informal bus routes (2018–19), then in 2024 trained residents of informal settlements as a community drone-mapping crew producing 5cm-resolution imagery that now feeds municipal planning.

4,038 km
Formal and informal bus routes mapped (2018–2019)
30 people
Residents trained as drone-mapping crew (2024)
28 members
Crew size grown to (2024)
10 pilots
Pilots recruited from informal communities (2024)
5 cm
Imagery resolution produced (2024)
3–10x lower cost
Cost versus traditional aerial survey (2024)
Freetown Urban Data & Community Drone-Mapping Programme

Details

Maturity
Scaling
Promoter
Freetown City Council, with the Humanitarian OpenStreetMap Team, Fourah Bay College and the World Bank/GFDRR
Period
2018–present
Keywords
civic data, community drone mapping, urban mobility data, disaster resilience

Context

Freetown, which generates roughly 30% of Sierra Leone's GDP on under 0.5% of its land and houses about 15% of the national population, runs a multi-phase civic-data programme feeding into Mayor Yvonne Aki-Sawyerr's 'Transform Freetown' plan (launched January 2019 across eleven priority sectors), led by Freetown City Council with the Humanitarian OpenStreetMap Team, Fourah Bay College and the World Bank/GFDRR.

Activities

Phase one (2018–2019), led by Fourah Bay College engineering students with Where Is My Transport and World Bank/GFDRR support, combined mobile-phone call-detail-record mobility data, road-condition surveys and poverty data to map Greater Freetown's bus network. In early 2024, Freetown City Council launched a community drone-mapping programme with the Humanitarian OpenStreetMap Team, CODOHSAPA/FEDURP and Slum Dwellers International, funded by Germany's BMZ, training residents (including pilots recruited from informal communities) to produce high-resolution aerial imagery.

Results

Phase one produced the first map of Greater Freetown's 4,038 km of formal and informal bus network, revealing seasonal travel differences and confirming Tower Hill as the city's primary employment destination. The drone programme trained 30 residents, growing to a 28-member crew including 10 pilots from informal communities, producing 5cm-resolution imagery and elevation models at a reported 3–10x lower cost than traditional aerial survey. Outputs now feed municipal tasks including waste management, property taxation, ward-boundary review and informal-settlement recognition.

Implementation

Indicative cost
Medium (€50k–€500k) — Phase one supported by World Bank/GFDRR; phase two (drone mapping) funded by Germany's BMZ; reported 3–10x lower cost than traditional aerial survey.
Time to results
Medium (1–3 years) — Phase one 2018–2019; phase two (community drone mapping) launched early 2024 and ongoing.
Staffing & skills
Freetown City Council, Fourah Bay College engineering students, Humanitarian OpenStreetMap Team, CODOHSAPA/FEDURP, Slum Dwellers International, World Bank/GFDRR (phase one)

Conditions for success

  • Partnership between city council, academia and international mapping NGOs
  • Recruiting trainees directly from informal settlements
  • Donor funding (Germany's BMZ) for equipment and training

Common failure modes

  • Programme continuity depends on continued donor funding rather than an established municipal budget line

Where it fits

Governance type
municipal government (Freetown City Council)
Scale
citywide
Income level
low-income

Commonly funded by

National / regional programmes Philanthropic / foundation funding

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.

Data sources

Where this practice's information was retrieved from, and when.

Attachments

Similar practices you may find useful