Bridging the Gender Data Gap in Transport

Respondent Profiles

Find out what respondents had to say about their travel experiences.

Working professional

Nairobi
Working Professional
35 years old

Most used transport modes:
Danfos, ride hailing (to get to church or when overloaded), ferry, Keke

Student

Gauteng
Students
22 years old

Most used transport modes:
Minibus & Uber

Stay-at-home mother

Lagos
Stay-at-home mother
30-35 years old

Most used transport modes:
BRT, Uber

Informal trader

Lagos
Informal Trader
35 years old

Most used transport modes:
Danfos, ride hailing (to get to church or when overloaded), ferry, Keke

Sex worker

Nairobi
Sex worker
35 years old

Most used transport modes:
Most used transport modes: Matatu (Minibus), Boda Boda

Transport Expert (Bus Driver)

Gauteng
Transport Expert (Bus Driver)
40+ years old

Most used transport modes:
Taxi, Bus

WOMEN ARE NOT A SINGLE HOMOGENOUS GROUP

Together with WhereIsMyTransport we have worked on the development, testing and analysis of gender-inclusive mobility data gathering in the study ‘Decoding Women’s Travel Experiences. A Study of Nairobi, Lagos, and Gauteng’. The intention behind conducting this study is to reflect the lack of openly available data on women’s travel experience and to contribute to filling this gap so that safe, comfortable, accessible, and affordable public transport can become a reality for all transport users. New insights were gathered with an emphasis on qualitative data, providing a more empathetic and user-centric view of women’s daily journeys.

Beyond this, we wanted to challenge the idea of ‘women’ as one homogenous group. “Women’s mobility needs and behaviours can differ significantly by age, occupation, and socio-economic level.” Therefore, the research zooms in on the level of different user-groups. Each of the user groups were surveyed in Nairobi, Lagos and Gauteng. In addition, the ride-alongs provide a detailed exemplary journey-map of one participant from each of the groups.

You can discover the participants’ journeys from a fist-person perspectives by clicking on the images we created for each of them. In their profile you will find individual journey maps and paint point maps. On our cities page, a decision-making matrix for each of the studied cities shows the variation in how women from different locations make their mobility choices based on cost, time, safety, comfort, and access.

Six user-groups were surveyed, and profiles created to go along with them:

  • Student
  • Working professional
  • Sex worker
  • Stay-at-home mother
  • Informal trader
  • Transport expert

“Promoting inclusivity in transport systems starts with inclusive data collection that depicts behaviours, mobility needs, and capabilities”. The findings highlight the need to rethink and adapt traditional survey and planning methodologies so that public transport truly serves all members of society.

The illustrations were created for Women Mobilize Women by Esther Blodau.