ST-BESA: Low-code spatio-temporal built-environment analysis for social scientists
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Updated
Apr 26, 2026 - Python
ST-BESA: Low-code spatio-temporal built-environment analysis for social scientists
Database of energy characteristics of individual Dutch dwellings
Physiological data processing, signal processing, and data fusion scripts and codes. ESUM: This research is a part of our research project "ESUM-Analysing tradeoffs between the energy and social performance of urban morphologies," at the Chair of Information Architecture, ETH Zurich, Zurich, Switzerland and the Chair of Computer Science for Ar…
Toolkit for focal site multi-scale studies in Python
Python hydraulic system analysis of IFC building models.
Public pedestrian safety dashboard: empirical Bayes crash risk for Philadelphia intersections, segments, and tracts, plus Bogota ZAT and segment layers
A multi-view spatio-temporal graph neural network for multimodal origin-destination (OD) travel demand prediction.
Mark a city block in Google Street View and Via compares the oldest and newest imagery along it with a vision model running on your own computer, reporting whether building frontages improved, held steady, or declined.
Applied AI for design and construction: evaluated AEC retrieval, embodied-agent simulation, computational design, project requirements, and QS workflows.
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