Cities are growing fast and facing unprecedented challenges as urban populations grow and resources are becoming scarce. A city’s master planning involves a series of decision-making processes and requires knowledge from various domains. Urban planners are seeking computational support. We present a use case of land use type or building function allocations informed by urban energy performance as a pilot demonstrator for a semantic-web approach to these challenges. The software used for energy performance assessment was the City Energy Analyst. Using a quarter in downtown Singapore as an example, the results indicated 70% to 80% residential supplemented by other land use types favours efficient use of district cooling systems and photovoltaic panels. Urban planners may use the results to narrow down the search space of land use type ratios for the selected mixed-use area in Singapore.
| Authors | Zhongming Shi and Pieter Herthogs and Shiying Li and Arkadiusz Chadzynski and Mei Qilim and Aurel von Richthofen and Stephen Cairns and Markus Kraft |
|---|---|
| Year | 2021 |
| Venue | Projections - Proceedings of the 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2021 |
| DOI | 10.52842/CONF.CAADRIA.2021.2.679 |
| Source Database | Seed (CumInCAD) |
| Bridge-to-GNN | Category Seed |
| GNN Architecture | Knowledge Graph Embedding (inferred from title) |
| Graph Encoding | Not yet extracted from PDF |
| AEC Task | Energy Estimation (inferred from title) |
| Cohort | Early Infrastructure (2020–2021) |
| Primary Metric | Accuracy (heuristic — verify) |
|---|---|
| Key Finding | use case of land use type or building function allocations informed by urban energy performance as a pilot demonstrator for a semantic-web approach to these challenges (heuristic — verify) |
| Quality Assessment | 1/6 · rigor: Low · Code/Data: ✓ (heuristic — verify) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Quality (heuristic, 6-flag) | 0/6 · rigor: Low Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: — |
Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026