FURI | Spring 2022

A Decision Support System for Urban Canopy Selection

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This project focuses on developing an interactive web interface that evaluates the effectiveness of various shade structures based on certain parameters. During this semester, the interface has been improved by calculating the shortwave and longwave radiations that are needed to get the hourly mean radiant temperature (MRT). The web interface displays a working graph that reflects the MRT based on the parameters chosen by the user. Urban planners can now utilize this tool to evaluate shading effectiveness when considering infrastructure additions.

Student researcher

Maya Muir

Computer science

Hometown: Chandler, Arizona, United States

Graduation date: Spring 2022

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