Methodological Framework for Urban Resilience in Residential Building Blocks

A computational framework for longitudinal optimization of residential building blocks under non-stationary climate pressures. The methodology was developed by Alireza Karimi and demonstrated through an empirical application to a district in Stuttgart, Germany, using high-resolution climate projections (RCP8.5). The dataset was last updated on 2026-06-04.

Use Cases

• Optimizing building morphology for energy efficiency based on Energy Use Intensity (EUI) and Photovoltaic Potential (PVEG) metrics.
• Assessing outdoor thermal safety for urban residents based on Universal Thermal Climate Index (UTCI) simulations.
• Training machine learning surrogate models for urban climate performance prediction based on physics-based simulation data.
• Conducting multi-objective optimization for urban design under future climate scenarios based on RCP8.5 projections.
• Interpreting the influence of morphological features on resilience using SHAP-based analysis.

Strengths

• Methodology validated with high predictive fidelity (R² > 0.93) for surrogate models.
• Integrates high-resolution climate projections (RCP8.5) for future scenario analysis.
• Framework identifies quantifiable performance shifts, such as a systemic 60%–74% increase in baseline energy demand under climate penalty.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Alireza Karimi via figshare.

Collection Method

Computational framework integrating parametric modeling, physics-based simulations, and machine learning surrogate models.

Time Range

Covers Historical, Mid-Future, and Far-Future climate horizons.

Freshness

Last updated 2026-06-04 04:27:14; freshness should be verified.

Geography

Empirical application to a representative district in Stuttgart, Germany.