The interplay between population mobility and epidemic risk is critical for fostering resilient urban environments, especially in rapidly growing megacities. This chapter introduces a novel approach for healthier city development by utilizing metro data to analyze how population mobility influences the spread of infectious diseases. By leveraging the extensive information provided by metro systems, cities can gain valuable insights into epidemic dynamics, leading to more effective strategies for risk mitigation and public health promotion. While population mobility drives economic growth and urban development, it also presents significant public health challenges. The rapid movement within densely populated areas can create conditions conducive to disease transmission. Modern metro systems, which enhance connectivity, may inadvertently facilitate disease spread due to high passenger volumes and frequent interactions. The COVID-19 pandemic highlighted the unique challenges faced by megacities with extensive metro networks in epidemic prevention. Traditional approaches often do not account for the complex dynamics of population mobility within these systems. Focusing on high-risk areas in Shenzhen, known for its extensive metro network, this chapter employs a case study approach, using statistical and spatial analysis methods to identify patterns and develop targeted strategies. By integrating transportation data with public health measures, this chapter presents a framework that megacities can adopt to enhance epidemic preparedness and resilience. Combining these insights with innovative urban planning, the chapter provides a pathway for building healthier, more resilient cities that prioritize public health. It offers guidance for future city planning and public health initiatives, aligning with the broader theme of sustainable and healthy urban environments.