Data · dataset · 2025
Assessment of the implementation of BIM and DT in Water Management Sector: A case study of luanda,Angola
Listed in Teesside University Research Data Repository
This dataset was obtained from a field survey conducted in the Luanda-Angola.
Description
The dataset, collected between from March 14 to October 04, 2024 using a a non-probability expert sampling framework, to evaluates the adoption of BIM and DT technologies in the Luanda water sector. The survey link was self-administered questionnaires distributed through two primary channels: institutional partnerships with OEA and OA headquarters in Luanda, and targeted outreach to AECO firms identified via Angolan industry registries, resulting in 63 complete responses during the study period.
A rigorous multi-stage analytical framework to examine BIM and DT adoption patterns in Angola's water sector. Chi-Square statistical analyses were conducted at a 0.05 significance threshold using Statistical Package for the Social Sciences (SPSS) software. Results revealed that BIM familiarity varies significantly across professionals and that most have a basic understanding of the DT.
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Results also reveal that improved planning and design processes emerged as principal benefits, followed by enhanced data management and better visualization and simulation capabilities. Keywords: BIM implementation; Digital Twin; Water Management; Angola
Links
Where it is published
- DOI doi.org/10.17632/rb3cffgpzj.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rb3cffgpzj.2 | 8 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |