Continental-scale assessment of spatial food market accessibility in Africa using open geospatial data

TL;DR

This study provides a comprehensive, data-driven assessment of food market accessibility across Africa, revealing significant disparities linked to socioeconomic factors and offering a scalable framework for policy intervention.

Contribution

It introduces a novel, integrated geospatial methodology to quantify food market accessibility at a continent-wide scale in Africa, combining multiple metrics and open data sources.

Findings

Rural populations face longer travel times to markets.

Economic disadvantages correlate with reduced market access.

The framework identifies underserved regions for policy focus.

Abstract

Food market accessibility is a critical yet underexplored dimension of food systems, particularly in low- and middle-income countries. In this paper, we present a continent-wide assessment of spatial food market accessibility in Africa, integrating open geospatial data from OpenStreetMap and the World Food Programme. We compare three complementary metrics: travel time to the nearest market, market availability within a 30-minute threshold, and an entropy-based measure of spatial distribution, to quantify accessibility across diverse settings. Our analysis reveals pronounced disparities: rural and economically disadvantaged populations face substantially higher travel times, limited market reach, and less spatial redundancy. These accessibility patterns align with socioeconomic stratification, as measured by the Relative Wealth Index, and moderately correlate with food insecurity levels, assessed using the Integrated Food Security Phase Classification. We find pronounced disparities in accessibility: rural and economically disadvantaged populations face substantially longer travel times and reduced market availability, with some areas requiring several hours of travel. Overall, results suggest that access to food markets reflects broader geographic and economic inequalities and plays a relevant role in shaping food security outcomes. This framework provides a scalable, data-driven approach for identifying underserved regions and supporting equitable infrastructure planning and policy design across diverse African contexts.