Enhancing strategic decision-making in built asset management through BIM-Enabled asset information modelling (AIM) for public buildings in Ethiopia: A fuzzy-AHP analysis
Muluken Tilahun Desbalo, Asregedew Kassa Woldesenbet · 2024
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Description
Muluken Tilahun Desbalo and Asregedew Kassa Woldesenbet study how digital building models can guide care of public buildings in Ethiopia, in a 2024 paper. Good data helps owners decide whether to keep, upgrade, or remove a building. In practice, records are often thin or hard to reach, and digital models are rare for older buildings. The authors set out to rank which kinds of data matter most for each choice.
Eleven experts scored the options through a structured survey method that also handles fuzzy judgments. Cost, risk, and business value served as the yardsticks. For keeping a building, data on management ranked first. For upgrading, technical data came first, and for removal it ranked even higher. The authors argue that data plans should be tailored to the choice at hand, not built the same way for every building.
Catalog record
| CREATOR | Muluken Tilahun Desbalo, Asregedew Kassa Woldesenbet |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |