| Περίληψη: | This is the first book to directly address the physics of urban sustainability and how urban sustainability may be modelled and optimised.
Επισκόπηση AI
+10
Computer modeling for sustainable urban design uses digital simulations to evaluate and optimize the environmental, social, and economic performance of cities. It transforms planning from a subjective process into a data-driven science, allowing planners to test designs before they are built.
Core Modeling Domains
Microclimate & Comfort: Simulates wind, solar radiation, and temperature to maximize pedestrian comfort and mitigate the urban heat island effect. Energy & Emissions: Calculates building energy consumption, daylighting access, and carbon footprints to optimize urban form and efficiency. Urban Metabolism: Models the flow of resources—such as water, energy, and materials—to promote circularity and reduce waste. Mobility & Transit: Analyzes traffic flow, public transport accessibility, and active transport (walking and cycling) to reduce vehicular emissions.
Common Methodologies & Platforms. Parametric Modeling: Tools like Rhino and Grasshopper (along with environmental plugins) allow planners to generate and evaluate thousands of design variations in real time. Geographic Information Systems (GIS): Used for spatial analysis, land-use mapping, and optimizing infrastructure networks on a city-wide or regional scale.
Microclimate Simulations: Software like ENVI-met or specialized CFD (Computational Fluid Dynamics) tools are utilized to study airflow and thermal dynamics.
|
|---|
