Next Optimized Generation of Autonomous Suburbs
NOGAS is a new digital toolkit for guiding development in transition to autonomous mobility, developed by the MIT Norman B. Leventhal Center for Advanced Urbanism and P-REXlab at MIT. The tools focus on suburban areas that are rapidly developing and use scenario-based modeling to “generate optimized suburban land use patterns, mobility frameworks, and urban design for a future when autonomous mobility options are ubiquitous.” The NOGAS project views changing land-use and development patterns as an opportunity to address the following challenges: environmental sustainability, social equity, workplace connectivity, mobility and access, and climate mitigation. One example of the type of tool in the NOGAS toolkit is OASIS, a parametric toolbox that can be used to analyze an existing neighborhood master plan and identify opportunities for optimizing connectivity ratios through scenario-based modeling.