Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia

This paper examines OpenStreetMap data quality at different stages of a participatory mapping process in seven slums Africa and Asia. Data were drawn from an OpenStreetMap-based developed as part research project focusing on understanding inequalities healthcare access slum residents the Global South. Descriptive statistics qualitative analysis employed to examine following question: What is spatial collaborative remote achieved by volunteer mappers morphologically complex urban areas? Findings show that completeness largely depends morphology characteristics such building density rooftop architecture, varying 84% best case, zero most difficult site. The major scientific contribution this study provide evidence remotely mapped through efforts areas slums; results could insights into how much fieldwork would be needed what level complexity extent involvement local volunteers these required.