Developing digital twins of urban low-income communities in Sub-Saharan Africa: a case study in Ghana, West Africa

Abstract

Low-income urban and rural communities in Sub-Saharan Africa are habitats for more than 556 million profoundly poor people, and the United Nations and the African Union are pessimistic that sustainable development goals will be met. The number of people falling into poverty is increasing, and policy initiatives to reduce poverty have been confounded by various economic, political, social, structural, and environmental issues. Despite a wealth of natural and human assets, there is no systematic approach to sustainable development for poverty alleviation in Sub-Saharan Africa. This case study of an urban community in Ghana, West Africa, investigates the potential role of digital twins in a systematic approach to sustainable development for poverty alleviation. Aerial and community surveys of the built environment and social and economic surveys of businesses and households were compiled to inform a virtual representation of the study area. A small e-commerce business intervention was introduced, and data was recorded for studies on the impact of the intervention. A 3D interactive view, extensive video, and fixed images provided a comprehensive view of the built environment. A limited view of the social and economic environment was obtained from a small population sample. It was observed that online transactions increased in the businesses receiving the e-commerce intervention, demonstrating a willingness of businesses and their customers to engage in e-commerce when incentives are provided. A single successful community-centric initiative has little value unless it can be generalized across the broader society. This limited case study focused on developing and testing virtual and physical constructs to enhance a deeper understanding of the community, community engagement, and pathways to sustainability. The scale of the intervention was too small to conclude generalizability. Future research will focus on improving the data collection processes, fidelity of virtual representations, visualization methods, and methodologies for constructing viable virtual interventions.