Urban Morphology Toolkit using Grasshopper
This project documents the development of a Grasshopper toolkit designed for the analysis of urban morphology parameters.
Project Overview
Precise quantification of urban morphology is crucial for understanding microclimate behavior, but manual measurement can be time-consuming. These algorithms automate the process, extracting key parameters directly from 3D models for efficient and detailed analysis.
Methodology
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Parameter Identification
Algorithms were developed to extract Floor Area, Height, Building Coverage Ratio (BCR), Floor Area Ratio (FAR), and building rotation for each building.
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GIS-Free Workflow
The algorithms were designed to function without dependency on GIS data, relying instead on architectural data.
Key Innovation
The primary innovation lies in automated tools that rapidly extract key urban morphology parameters from 3D models.
This enables researchers and designers to analyze urban environments quickly and quantitatively.
Key Findings
These algorithms have been used successfully to model the urban core of Ilam city and to quantify the impact of different urban morphological parameters on urban climate, energy consumption, and access to daylight.
Related Publications and Works
- This project is directly related to publications on the impact of urban morphology on solar potential, energy consumption, and daylight autonomy. Please see the Publications page for more information.
- Efforts are underway to package these algorithms into a user-friendly Grasshopper plugin for wider dissemination and application.