Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya

Journal article

In urban areas with high facility density and good road connectivity, over half of FP users visited their nearest outlet with their chosen method available. In these settings, Euclidean distances were sufficient to characterise geographic proximity; however, reported and modelled travel times differed across all sites.

Authors: Macharia, PM; Demise, EG; Nakimuli, D; Anyanti, J; Archer, J

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: BMJ Publishing Group
• Journal: BMJ Global Health
• Volume: 7
• Issue: 5
• Pages: e008366-e008366
• Publication date: 2022-05-06
• Acceptance date: 2022-04-19
• DOI: 10.1136/bmjgh-2021-008366
• EISSN: 2059-7908
• ISSN: 2059-7908
• Language: English
• Keywords: Geographic information system; Cartography; Distance decay; Mathematics; Geometry; Economic geography; Transport engineering; Population; Statistics; Census; Artificial intelligence; k-nearest neighbors algorithm; Travel time; Computer science; Elevation (ballistics); Geography; Euclidean distance; Demography; Engineering