Efficient evacuation of high-density crowds is critical to the management of emergency responses in large public buildings. Human evacuation behaviors are highly complex, and current research mostly focuses on crowd behaviors, lacking thorough investigation of individual behaviors. However, crowds are made up of large numbers of individuals, and crowd behaviors are determined by the emergent properties of individual behaviors. Therefore, the investigation of characteristics and mechanism of individual evacuation behaviors is important micro basis to the development of high-fidelity and complex crowd evacuation models, and it is essential to the design of evacuation management measures.
Deep understanding of the complex patterns of urban human mobility during extreme weather events (EWEs) is of significant importance to the assessment of impacts of EWEs, maintenance of urban commuting conditions, and improvement of the overall disaster response capacities of the cities.
Studying indoor crowd emergent evacuation is of great significance for ensuring human safety and reducing casualties. With the development of computer science, simulation of crowd evacuation in fire scenarios has become the main direction of current evacuation research.
Understanding human evacuation behaviour in building emergencies in-depth in aspects of is of great significance to simulate crowd evacuation, to optimize building design, to effectively intevene evacuation and effectively conduct fire evacuation training.
Healthcare systems play an important role in the response and recovery of earthquake-hit regions. However, healthcare systems themselves likely subject to earthquake impacts, which hinders medical service continuity. The enhancement of resilience to earthquakes is crucial for healthcare systems to maintain their functionality during earthquakes and recover in a timely manner in the aftermath of earthquakes.
Predicting business interruption losses (BIL) could support the development of informed post-disaster recovery strategies and the decision-making of pre-disaster prevention and insurance.
Community health resilience to earthquakes refers to the capacity of a community to prepare for, respond to, and recover from the impact of earthquakes so as to reduce mortality and morbidity of the local community. Technical infrastructure, hospitals, and residents are the key elements in community health resilience.
Transportation infrastructure system is critical to the economic development as well as the sustainability of urban cities. Transportation disruption can not only cause great direct economic losses, but also lead to huge indirect economic impacts.
Critical infrastructure systems (CISs) are the building blocks of modern cities. Understanding the response and recovery mechanisms of interdependent CISs in the event of disaster is essential in order to assess the impact of disasters on the CISs and improve urban disaster management.
