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                <identifier>oai:data.mendeley.com/rb3cffgpzj.2</identifier>
                <datestamp>2025-10-11T10:53:54Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0002-9204-0514">Canivete, Chiamba</dc:creator>
    <dc:title>Assessment of the implementation of BIM and DT in Water Management Sector:  A case study of luanda,Angola </dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset was obtained from a field survey conducted in the Luanda-Angola. 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&apos;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. 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
</dc:description>
    <dc:subject>Engineering</dc:subject>
    <dc:subject>Building Design</dc:subject>
    <dc:subject>Digital Design</dc:subject>
    <dc:subject>Built Environment Design</dc:subject>
    <dc:subject>Civil Construction</dc:subject>
    <dc:contributor> Chitauro, Mercy </dc:contributor>
    <dc:contributor> Flörke, Martina </dc:contributor>
    <dc:contributor> Okorie, Maduako </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/rb3cffgpzj.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/rb3cffgpzj.2</dc:identifier>
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    <dc:date>2025-10-11T10:53:54Z</dc:date>
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