Consumer mobility and shopping mall visitation data from smartphone tracking in Johannesburg, South Africa
This dataset, sourced from Fetch Analytics, captures observations of consumer visits (<i>n</i> = 87,204,056) to three major shopping malls in Johannesburg, South Africa, from January 2022 to December 2023. The dataset collected using smartphone signal tracking provides insights into consumer behaviour. Key variables include mall name, visit frequency, distance travelled from origin (home) to destination (mall), and socio-demographic indicators such as gender, age, income, and Living Standard Measure (LSM). The dataset allows for granular analyses of how spatial and socio-economic factors influence shopping patterns in a fragmented retail landscape. This dataset is valuable for researchers investigating consumer behaviour, spatial economics, and urban retail planning.
Authors
- John K Karuitha
- Yewande Adewunmi (ORCID: https://orcid.org/0000-0002-0318-3370)
- Koech Cheruiyot (ORCID: https://orcid.org/0000-0003-2247-2802)
- Kalasipa Moenyane
- Prisca Simbanegavi
- Kelly Cohen
Institutions
- University of the Witwatersrand (ZA)
- Karatina University (KE)
- Gauteng Department of Agriculture and Rural Development (ZA)
Publication Details
- Journal
- Data in Brief
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1016/j.dib.2026.112648
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00