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As cities continue to grow worldwide, policymakers and urban planners face the dual task of meeting rising demand for essential services while ensuring that benefits accrue to their citizens equitably. We propose a framework for assessing inclusivity and equity in cities, which leverages open data and machine learning techniques to inform urban infrastructure investment strategies. The framework is applied at a regional scale to compare differential access to healthcare facilities (public hospitals and clinics) via public transit in Vancouver, Seattle and Portland. We find important distributional impacts on vulnerable populations across the three cities. Portland displays the highest inequity in hospital and clinic access, and Vancouver the least, owing to Vancouver's relatively compact geographic area and high population density. For seniors, over 75% are socially excluded from hospitals and over 50% from clinics in …