3ondrej-vesely@seznam.cz 4Reinhard. Koenig@ait.ac.at This paper introduces a prototype for a user-friendly, responsive toolbox for spatial accessibility analysis in data-poor environments to support urban design processes. It allows for real-time computation of several evaluation indicators, mostly focused on accessibility related measures. The proposed framework is exemplified with three real-world case studies. Each of them demonstrates one part of the workflow; data gathering and preparation, sketching and developing scenarios, and impact analysis and scenario comparison. Keywords: accessibility, urban design, evidence-based design, graph model, gravity model INTRODUCTION Under the assumption that cities are large complex systems, the question arises of how much planning and regulations are desirable. On the extremes, there are two distinct approaches to the urban planning process; 1) readily designing cities and quarters down to the shape of the roof or 2) supporting the selforganization process and consciously plan with it while protecting public interests and the commons.
| Authors | Serjoscha Düring and Andrej Sluka and Ondrej Vesely and Reinhard König |
|---|---|
| Year | 2019 |
| Venue | Proceedings of the 37th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) \& 23rd Conference of the Iberoamerican Society Digital Graphics [Volume 3] |
| DOI | 10.52842/CONF.ECAADE.2019.3.333 |
| Source Database | Seed (CumInCAD) |
| Bridge-to-GNN | Category Seed |
| GNN Architecture | Not yet extracted from PDF |
| Graph Encoding | Not yet extracted from PDF |
| AEC Task | Not yet extracted from PDF |
| Cohort | Early Infrastructure (2020–2021) |
| Implementation Framework | Grasshopper / Rhino (heuristic — verify) |
|---|---|
| Primary Metric | Accuracy (heuristic — verify) |
| Key Finding | prototype for a user-friendly, responsive toolbox for spatial accessibility analysis in data-poor environments to support urban design processes (heuristic — verify) |
| Quality Assessment | 2/6 · rigor: Low · Code/Data: ✓Baseline: ✓ (heuristic — verify) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Frameworks / libraries | Grasshopper / Rhino |
| Quality (heuristic, 6-flag) | 1/6 · 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