Published December 8, 2025
| Version v1
Dataset
Open
Road Access Deprivation Modelled Dataset in Accra, Ghana
Authors/Creators
-
Hafner, Sebastian
(Researcher)1
-
Zhao, Qunshan
(Researcher)2
-
Alugbin, Bunmi
(Researcher)
- Baruwa, Kehinde (Researcher)3
- Cheruiyot, Caleb (Researcher)4
- Sa'adu Da'u, Sabitu (Researcher)5
- Du, Xingyi (Researcher)2
- Elias, Peter (Researcher)3
-
Elsey, Helen
(Researcher)6, 7
-
Engstrom, Ryan
(Researcher)8
-
Girgin, Serkan
(Researcher)9, 10
-
Pajarito Grajales, Diego Fabian
(Researcher)2
- Judith, Esther (Researcher)4
-
Kabaria, Caroline
(Researcher)4
-
Kuffer, Monika
(Researcher)11
- Oluwatoyin, Odulana (Researcher)3
- Onyambu, Francis C. (Researcher)4
- Shonowo, Adenike (Researcher)2
- Thomson, Dana R (Researcher)12
-
Zhu, Mingyu
(Producer)2
-
Porto de Albuquerque, João
(Researcher)2
- 1. KTH Royal Institute of Technology
-
2.
University of Glasgow
-
3.
University of Lagos
-
4.
African Population and Health Research Center
-
5.
Bayero University Kano
- 6. University of York
-
7.
University of Leeds
- 8. George Washington University
-
9.
University of Twente
- 10. University of Twente, Faculty of Geo-Information Science and Earth Observation
- 11. Universiteit Twente Faculteit Geo-Informatie Wetenschappen en Aardobservatie
- 12. Center for Integrated Earth System Information
Description
This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.
Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.
Files
dataset-format.md
Files
(63.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:1c5696fbfbc996f011e7cc22065c111a
|
3.8 kB | Download |
|
md5:03ad0151230cabaf784a112d209bad3f
|
5.6 kB | Preview Download |
|
md5:e91761a1222227691ff6b81cae8bc304
|
37.5 MB | Preview Download |
|
md5:b3f19de5f0e7c6f9b37797568f16a18c
|
930 Bytes | Preview Download |
|
md5:6160cdd6ee01c7d141b258b663e5859a
|
5.0 kB | Preview Download |
|
md5:132f1b2263207af88df6e3b44ed4477d
|
937 Bytes | Preview Download |
|
md5:ea9eec007f9a127d7e4aa01cf0ebaf78
|
26.4 MB | Preview Download |
|
md5:16acb2a0583ca46dd1b67aa5726e0323
|
1.3 kB | Preview Download |
Additional details
Related works
- Is described by
- Preprint: 10.48550/arXiv.2512.02190 (DOI)
Funding
- Bill & Melinda Gates Foundation
- INV-045252
Software
- Repository URL
- https://github.com/urbanbigdatacentre/ideamaps-models