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Nairobi motorcycle transit comparison dataset: Fuel vs. electric vehicle performance tracking (2023)
Alois Mbutura1,2, Martin Kitetu1,2, Halloran Stratford3
1EED Advisory Ltd, 50 Hamisi Rd, Nairobi 00100, Kenya.
Data in Brief
|July 17, 2025
Summary
This dataset compares internal combustion engine (ICE) motorcycles to electric motorcycles in Nairobi. It provides data on operational and economic metrics to inform e-mobility transitions in African cities.
Area of Science:
- Transportation Science
- Sustainable Energy
- Urban Planning
Background:
- Limited data exists on motorcycle taxi (boda boda) transitions to electric mobility in African urban centers.
- Nairobi, Kenya, serves as a key location for studying the viability of electric motorcycles in developing cities.
- Understanding operational and economic differences is crucial for informing policy and adoption strategies.
Purpose of the Study:
- To document and provide a dataset comparing internal combustion engine (ICE) motorcycles with electric motorcycles in Nairobi.
- To capture detailed trip-level and daily operational and financial data for both motorcycle types.
- To offer a resource for researchers and policymakers interested in e-mobility transitions in urban Africa.
Main Methods:
- Two data collection phases: a baseline with ICE motorcycles and a transition phase with ICE (control) and electric (treatment) motorcycles.
- Trip data collected via GPS tracking devices (location, speed, distance at 10-second intervals).
- Financial data (revenue, costs) gathered through daily phone surveys; energy consumption measured via wall-plug meters.
Main Results:
- The dataset includes detailed trip metrics (start/end times, distance, speed) and aggregated daily summaries (distance, revenue, costs).
- Data covers operational performance and economic factors for both ICE and electric motorcycle taxis.
- Privacy is maintained by excluding location data for the first and last trips of each day.
Conclusions:
- The Nairobi Motorcycle Transit Comparison Dataset offers a unique resource for studying e-mobility adoption in developing urban contexts.
- Potential research applications include urban mobility analysis, e-mobility adoption, energy demand forecasting, and transportation economics.
- The data facilitates comparative analysis of ICE and electric motorcycle operations, economic impacts, and energy consumption trends.
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