Applied use of GTFS Data in Transportation Planning
2026-09-02 , Conference Management Room1

CPCS used GIS and six transport surveys to collect and analyse data on Lagos’ public transit, focusing on eight proposed Quality Bus Corridors. Insights informed sustainable restructuring models, with data stored in a GIS database, published in GTFS format, and shared via an interactive visualization portal.


In this project, CPCS utilized GIS technology to conduct comprehensive data collection exercises aimed at understanding the public transit industry in Lagos. The project gathered spatial data through six transport surveys and developed tools for automated data analysis. Data collection methods included surveys and manual traffic counts, such as: Bus route identification survey, Manual classified traffic counts, Bus lines identification survey, Boarding and alighting survey, Stakeholder surveys (drivers, bus owners, ancillary service providers), Onboard OD passenger survey, Passenger quality/mystery survey, Intermodal hub identification survey.
The collected data aimed to provide insights into existing bus operators and their routes along eight proposed Quality Bus Corridors (QBCs) within Lagos State’s mainland. These corridors, ranging from 1.6 km to 14.4 km in length, serve as feeder routes connecting communities to intermodal hubs and other transportation modes like BRT, LRT, First-and-Last-Mile buses, and paratransit services. Currently, these corridors host paratransit bus services using danfo and Koropes
Operations Management
Through extensive data analysis, the project developed sustainable models for transitioning and formalizing the Lagos bus industry. Spatial analysis provided corridor-specific results and implementation strategies, leading to a plan for restructuring the bus industry and integrating existing operators into the future QBCs.
All collected data was stored in a GIS database and updated to public transit repositories in GTFS format. Additionally, a data visualization portal was created to allow users to interact with transit data for various locations in Lagos.


Level of technical complexity: 1 - beginner I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation:

Caroline is a Spatial Data Scientist with CPCS supporting transportation planning efforts in Africa

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