Integrated Resilience Assessment of Urban Transport and Healthcare Networks: Predictive Flow and Cascade Failure Impacts in Hong Kong

This research examines the interdependencies between urban transportation and healthcare systems in Hong Kong, focusing on their resilience in the face of disruptions such as natural disasters and health crises. The study utilizes social sensing geospatial datasets to model the dynamics of transportation and healthcare accessibility, offering a novel approach compared to conventional research on geriatric conditions. Key findings indicate a strong correlation between public transport infrastructure and healthcare access, emphasizing the role of public transport in improving health outcomes by removing spatial barriers. The research also introduces a resilience assessment model for urban transport networks, highlighting vulnerabilities and recovery capabilities during disruptions. Predictive modeling techniques are applied to forecast healthcare outcomes such as in-hospital mortality and length of stay, improving resource allocation. The study concludes by discussing community responses and policy implications for enhancing urban systems’ adaptability, with insights into future urban resilience frameworks and challenges in Hong Kong’s recovery trajectory.