Data is only meaningful when it is accessible.
We want to maximize impact by sharing the data compiled within our project on bridging the gender data gap in mobility. The full datasets can be downloaded below.
Datasets from Nairobi, Lagos, and Gauteng by WhereIsMyTransport
Methodology: Researchers gathered literature and studies from local and international sources for review, uncovering where data gaps exist in what is currently available.
In-field and online surverys were created to compliment qualitative research methods. Eight sections focused on: gender, age, physical limitations, work and income, household, and experiences on public transport including journey types, costs, pain points, and harassment.
In home visits and ride-alongs researchers mapped women’s door-to-door journeys and witnessed the obstacles they faced while using transport. Throughout the journey women were interviewed to gain insight into their choices. Also observed aspects of the journey that the participants themselves may not have been aware of, such as the participants’ responses to safety or harassment fears.
Interactive women-only workshops and focus group discussions with about 8-15 participants were created where participants asked to discuss their transport experiences. They were held in culturally sensitive locations and facilitated by local researchers to create a safer space where women could speak openly and without fear about the barriers they encountered when using public transport. The responses formed qualitative report of transport user-experience, including barriers and opportunities.
Sample size: In total, 235 surveys were conducted across the three cities, with 155 in Nairobi, 100 in Lagos, and 80 in Gauteng.
Please note: The sample sizes used as part of this study are smaller than best practice might suggest, and therefore the insights derived from the analysis of the survey responses are not significant enough to be used as a definitive conclusion on the state of affairs for women and transport but rather point towards trends in the space. The data collected, the survey questions and the analytical framework included in these sheets should rather be used as a guide to inform future large-scale survey efforts on this topic. We therefore advise against using this data to create statistical insights for policy briefs, research reports or any other definitive recommendations.
Datasets from Lagos and Abidjan by Groots Consulting
Methodology: The data collection was based on a surveying method, leveraging the existing structure of cities and their actors. By recognizing local small and medium-sized retail shops as intelligence points within their communities and working with them to target survey participants and to conduct the surveys, community-sourced data could be compiled.
In Lagos and Abidjan respectively, 13 and 15 shops actively participated in the data gathering. To keep the length of the surveys manageable, the data was gathered through the dissemination if three shorter surveys. While the first part, covering descriptors, remained the same in all three surveys, the second part differed in each survey.
Hence, the responses of the first part were answered by the complete sample of respondents, and the questions in the other two parts were only answered by a subsection of the sample.
Sample size: In Lagos, a total of 630 valid responses could be gathered (204 from questionnaire N° 1, 206 from N° 2, and 220 from N° 3). For Abidjan, the dataset entails a total of 466 valid responses (170 from questionnaire N° 1, 146 from N° 2, and 150 from N° 3).
