Theses Master's

Soft Site Analysis Tool

Rosario-Pichardo, Albert

The use of technology and data to inform decision making in urban planning and municipal processes has increased. Planners currently rely on large amounts of geospatial data to create visualizations that are used to determine the outcome of processes which have the potential to shape cityscapes and affect how people interact with the space around them. Due to this, there is an increasing need for digital tools which can help standardize traditionally confusing or subjective municipal processes.

This Capstone project aims to do just that by providing a standardized, efficient, and improved way to identify soft sites for CEQR analysis, New York City’s method to forecast development. The modernization of the Soft Site Analysis tool, along with the included enhancements and parameters will allow DCP planners to identify soft sites quickly and accurately. Improvements to a crucial analysis will allow planners to forecast future development more accurately, consequently leading to better provision of services across the city.

Geographic Areas


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More About This Work

Academic Units
Urban Planning
Thesis Advisors
Vanky, Anthony P.
M.S., Columbia University
Published Here
June 5, 2024