Smart City Accessibility Modeling: A Predictive Framework for Mitigating Urban Food Deserts
This research examines a spatial development project in Baltimore, Maryland, using a multi-method computational framework that combines descriptive statistics, multi-variable regressions, travel demand modeling, and Monte Carlo simulations to maximize supply chain logistics and spatial accessibility for community food...