Overview
The rise of new technologies poses challenges to traditional design and planning processes, particularly with the emergence of Urban Air Mobility (UAM). This project introduces a method for digitally evaluating UAM infrastructure development, employing a multi-attribute decision-making technique in an interactive environment. Using Atlanta, Georgia, and Hartsfield-Jackson International Airport as examples, the methodology involves stakeholder analysis, metric identification, generative design for feasible alternatives, and models updated with live data for evaluation. The proposed approach utilizes digital twins in the master planning process of a city.
During the workshop, we developed the conceptual process for a digital twin platform to assist stakeholders in making informed site selection decisions in the context of Atlanta Airport. Following the workshop, I further refined our project’s workflow and visualization aspects, including a comprehensive background study, analysis of user needs and flows, and the development of wireframes and dashboard visualizations.