Risk assessment and mitigation programs have been carried out over the last decades in
the attempt to reduce transportation infrastructure downtime and post-disaster recovery …

Objective This paper aims to provide a comprehensive overview of the current state of agent-
based models, focusing specifically on their application in urban transportation research. It …

Earthquakes can cause traffic network disruption, extensive blacked-out traffic signals,
considerable dislocation trips, and numerous injuries. To avoid injury-transporting private …

This paper proposes a probabilistic framework for evaluating the seismic resilience of
transportation systems during emergency medical response. The framework computes total …

In the aftermath of an earthquake, damage to buildings and transportation networks severely
affects post-earthquake emergency rescue and medical health care services. This paper …

Hurricane evacuation modeling is challenging due to a scarcity of evacuation data and the
complexity of human decision-making and travel behavior. We build a system for rapidly …

Disruptive events play a significant role in the performance of supply chain networks (SCNs)
due to their high dependency on transportation networks. Therefore, it is critical to develop …

Quick access to hospitals is essential for severely injured people during post-earthquake
emergency medical response. In addition to emergency medical vehicles, most injured …

As one of the most important and directly affected infrastructure by flood disasters in urban
areas, the road system plays a crucial role in maintaining the order of human production and …

This paper explores the transformative impact of agent-based modeling (ABM) on the
architecture, engineering, and construction (AEC) industry, highlighting its indispensable …