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Good practice Imported

Digital Matatus — Open-Source Transit Data for Nairobi's Informal Bus System

Kenya · Nairobi · See the Kenya profile · See the Nairobi profile

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

A university-NGO consortium GPS-mapped Nairobi's ~130 informal matatu routes and 3,000+ stops, producing the first standardised (GTFS) map of an informal transit system serving 3.5 million daily riders — later adopted into Google Maps and cited in peer-reviewed research.

3.5 million passengers/day
Daily matatu ridership
130+
Routes mapped
3,000+
Stops mapped
5,000+
Map downloads (first 6 months) (Jan-Jul 2014)
80%
Respondents who previously lacked this data
86%
Respondents saying the map eased transit use
83%
Respondents willing to try alternate routes
Digital Matatus — Open-Source Transit Data for Nairobi's Informal Bus System

Details

Maturity
Scaling
Promoter
MIT, Columbia University, University of Nairobi & Groupshot (funded by The Rockefeller Foundation)
Period
2013–2014 (mapping); data in continuous public use since
Keywords
public transit, open data, civic mapping, urban mobility

Context

Nairobi's privately-run matatu minibuses carry an estimated 3.5 million passengers a day, but before 2013 the network had no official route map — only driver and association knowledge governed a system with no public data at all.

Activities

In February 2013 a consortium of MIT's Civic Data Design Lab, Columbia University, the University of Nairobi and design studio Groupshot, funded by The Rockefeller Foundation, sent University of Nairobi student fieldworkers out with GPS-enabled phones to ride and log the matatu network directly. The team charted more than 3,000 stops across over 130 routes and converted the data into an extended version of GTFS, the first time the standard had been adapted for an informal transit system anywhere. A geographically accurate map was released in January 2014.

Results

The map logged over 5,000 downloads in its first six months. A post-launch user survey found 80% of respondents had never had access to this kind of data before, 86% said the map made it easier to use the transit system, and 83% said they would try alternate routes as a result. The dataset was integrated into Google Maps — the first informal transit system anywhere to be included — and has fed at least five Nairobi transit apps as well as planning for the city's Bus Rapid Transit network. The methodology was published in a peer-reviewed article in the Journal of Transport Geography (2015).

Conclusions

The main limitation is durability: as a grant-funded research project rather than a standing institution, the dataset's ongoing maintenance and update cadence depend on follow-on funding and local custodianship rather than a guaranteed operating budget.

Implementation
Indicative cost
Low (< €50k) — Grant-funded mapping exercise using existing GPS-enabled phones and university student fieldworkers; funded by The Rockefeller Foundation as a research project rather than a dedicated capital programme.
Time to results
Short (< 1 year) — GPS field mapping began February 2013; the standardised GTFS map was released in January 2014, roughly one year from field data collection to public map.
Staffing & skills
University of Nairobi student fieldworkers (GPS mapping), MIT Civic Data Design Lab researchers, Columbia University researchers, Groupshot design studio

Conditions for success

  • Rockefeller Foundation funding to cover consortium costs
  • University partnership providing local fieldworkers with contextual knowledge
  • Adoption of an extendable open standard (GTFS) enabling downstream reuse by Google Maps and third-party apps

Common failure modes

  • No standing institution to maintain/update the dataset after the initial mapping grant ended
  • Ongoing update cadence depends on follow-on funding rather than a guaranteed operating budget

Where it fits

Governance type
university-NGO consortium (non-governmental)
Scale
citywide (Nairobi)
Income level
low/middle-income

Commonly funded by

Philanthropic / foundation funding

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Data sources

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