Curbspace Management

Our research examines curb space as a dynamic element of urban infrastructure, treating it as living infrastructure that must continually adapt to diverse and evolving demands such as parking, loading and unloading, transit, micromobility, and other emerging uses. We design and analyze mathematical models, optimization frameworks, and simulation tools to allocate limited curb resources, implement adaptive pricing, and evaluate operational strategies under uncertainty. Through the integration of stochastic optimization, microsimulation, and data driven modeling, we provide city planners and operators with actionable insights for real time and long term decision making to improve access, reduce congestion, and enhance the overall efficiency of urban transportation networks.