Analysis of openstreetmap data quality at different stages of a participatory mapping process: Evidence from slums in Africa and Asia

Godwin Yeboah, João Porto de Albuquerque, Rafael Troilo, Grant Tregonning, Shanaka Perera, Syed A.K. Shifat Ahmed, Motunrayo Ajisola, Ornob Alam, Navneet Aujla, Syed Iqbal Azam, Kehkashan Azeem, Pauline Bakibinga, Yen Fu Chen, Nazratun Nayeem Choudhury, Peter J. Diggle, Olufunke Fayehun, Paramjit Gill, Frances Griffiths, Bronwyn Harris, Romaina IqbalCaroline Kabaria, Abdhalah Kasiira Ziraba, Afreen Zaman Khan, Peter Kibe, Lyagamula Kisia, Catherine Kyobutungi, Richard J. Lilford, Jason J. Madan, Nelson Mbaya, Blessing Mberu, Shukri F. Mohamed, Helen Muir, Ahsana Nazish, Anne Njeri, Oladoyin Odubanjo, Akinyinka Omigbodun, Mary E. Osuh, Eme Owoaje, Oyinlola Oyebode, Vangelis Pitidis, Omar Rahman, Narjis Rizvi, Jo Sartori, Simon Smith, Olalekan John Taiwo, Philipp Ulbrich, Olalekan A. Uthman, Samuel I. Watson, Ria Wilson, Rita Yusuf

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


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

Original languageEnglish
Article number265
JournalISPRS International Journal of Geo-Information
Issue number4
Publication statusPublished - Apr 2021


  • Africa
  • Asia
  • Completeness
  • Data quality
  • Humanitarian mapping
  • Openstreetmap
  • Participatory mapping stages
  • Remote mapping and fieldwork
  • Slum
  • Volunteered geographic information


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