Data · dataset · 2026
Ghanashyam Danam: Can we predict whether an infrastructure project quantifies its energy sustainability benefits?
Listed in ZivaHub
<p dir="ltr">Infrastructure projects promise benefits that their early-stage decision documents describe but never value.
Description
A benefit that is not valued in the same terms as cost cannot be weighed against it, so it drops out of the decision. This study asks whether a project's own characteristics determine which of its benefits get quantified. <br><br>One hundred public private partnership feasibility study reports, spanning nine asset types between 2008 and 2021, were coded for 83 energy related design, construction and operational features, grouped into 16 themes.
Each report was separately recorded as having quantified an energy benefit or not: 48 had, 52 had not. A random forest was trained to predict the second from the first. <br><br>The model tells the two apart 84 times out of 100, well above chance under a permutation test. Which sustainability benefits get counted is therefore patterned, and predictable from the project itself.</p>
Links
Where it is published
- DOI doi.org/10.17608/k6.auckland.34004586.v2 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34004586 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:400508 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infrastructure engineering and asset management'] |
| concepts[field].anzsrc:group:4611 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:energy | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |