Visualising rural access index and not served rural population in Africa

Wanjing Li, Qi Zhou, Yuheng Zhang and Yijun Chen
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Wanjing Li: School of Geography and Information Engineering, 12564China University of Geosciences (Wuhan), P.R. China
Qi Zhou: School of Geography and Information Engineering, 12564China University of Geosciences (Wuhan), P.R. China
Yuheng Zhang: School of Geography and Information Engineering, 12564China University of Geosciences (Wuhan), P.R. China
Yijun Chen: School of Geography and Information Engineering, 12564China University of Geosciences (Wuhan), P.R. China

Environment and Planning A, 2022, vol. 54, issue 2, 215-218

Abstract: The rural access index is beneficial to monitor accessibility in rural areas. However, the rural access index cannot indicate how many rural people have not been served (called not served rural population or NSRP), and it has only been mapped at a national and/or regional scale. This study visualises both the rural access index and not served rural population in Africa, and also visualises the not served rural population at a fine scale (i.e. 10 km × 10 km grid). The results show that: First, the spatial pattern of the not served rural population is quite different with that of the rural access index, and thus we suggest to use the not served rural population indicator as a supplement of the rural access index. Second, the not served rural population varies within a country, and the fine-scale mapping can be helpful for policy makers and planners to decide where there is a priority need to improve rural road accessibility.

Keywords: Sustainable development goal; rural access index; not served rural population; global open data; Africa (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:54:y:2022:i:2:p:215-218

DOI: 10.1177/0308518X211035786

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