Back to Wiki

[105] User-driven parcellation of high-rise units for future urban habitation: Participatory computational design tools for future urban habitation

Seed Paper Seed Paper (General / Unclassified) 2020

Paper Description extracted from PDF · abstract · 129 words

Most residential high-rise apartments currently built to satisfy growing demands for housing, are predetermined and thus, are unable to respond to the increasingly diversifying forms of co-habitation. This research pursues alternative flexible approaches by building on Habraken’s ‘Open Building’ paradigm, where permanent, polyvalent ‘Support System’ layouts are strategically designed to accommodate highly adaptable, user-driven ‘Infill systems’. In this context, we adopt the participatory decision-making approach, by means of a computational framework that facilitates user-driven parcellations of entire buildings into apartments segments. The means is an algorithm that allocates numerous user-preference regarding size and position simultaneously - by searching for parcel permutations through a graph-syntax representation of floor plans. The research forms part of a larger project that aims to evaluate the resilience of mass housing for future uncertain demands.

AuthorsOliver Heckmann and Michael Budig and Zack Xuereb Conti and Ray Chern Xi Cheng and Sky Lo Tian Tian
Year2020
VenueRE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020
DOI10.52842/CONF.CAADRIA.2020.1.751
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortEarly Infrastructure (2020–2021)

Extracted Methodology heuristic — verify before citing

Primary MetricMean Average Precision (mAP) (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

bim-gis-integration (auto-suggested)

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

None

Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026