Evidence map›Paper›PMID 41444721›Full record

ArticleScientific data2025

The African Transport Systems Database - a geospatial database of multi-modal connected networks.

Silvia Colombo, Raghav Pant, Marcus Young, Fred Thomas, Tom Russell, Jasper Verschuur, Jim W Hall

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Silvia ColomboEnvironmental Change Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0009-0000-8652-702X
Raghav PantEnvironmental Change Institute, University of Oxford, Oxford, UK. raghav.pant@ouce.ox.ac.uk.ORCID http://orcid.org/0000-0003-4648-5261
Marcus YoungTransportation Research Group, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0003-4627-1116
Fred ThomasEnvironmental Change Institute, University of Oxford, Oxford, UK.
Tom RussellEnvironmental Change Institute, University of Oxford, Oxford, UK.
Jasper VerschuurFaculty of Technology, Policy and Management, Delft University Technology, Delft, Netherlands.ORCID http://orcid.org/0000-0002-5277-4353
Jim W HallEnvironmental Change Institute, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the first comprehensive geolocated multi-modal transport database for the whole continent of Africa, the African Transport Systems Database (AfTS-Db), including road, rail, aviation, maritime and inland waterway networks. To do so, we created and standardized asset and network data across all transport modes, including inter-modal connections, attributes of road and rail corridors and estimated annual statistics for airports and ports. The African Transport Systems Database includes 234 airports including their airline routes, 179 maritime ports and their connections with each other, 132 inland ports and docking sites with river and lake connections, 4,412 railway stations connected across 99,373 kilometers of rail lines, and 1,004,512 kilometers of roads mainly comprised of all motorways, trunk roads, primary and secondary routes across Africa and some local roads that connect to other transport modes. The AfTS-Db provides key information for transport planning, resilience assessments, asset management and development of transport models and applications. Furthermore, we expect the data will also be of relevance for environmental, health, social and economic studies.

Identifiers

PMID41444721
PMCPMC12873337

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.