Understanding the interdependent nature of multimodal public transit networks (PTNs) is
vital for ensuring the resilience and robustness of transportation systems. However, previous …

This paper presents a comprehensive approach to addressing the challenges of designing a
reliable emergency logistics network under the dynamic uncertainty of natural disasters. The …

The excessive traffic congestion in vehicles lowers the service quality of urban bus system,
reduces the social distance of bus passengers, and thus, increases the spread speed of …

Accurate origin–destination (OD) demand prediction is crucial for the efficient operation and
management of urban rail transit (URT) systems, particularly during a pandemic. However …

Abstract During the Annual Operational Research Society Simulation Workshop in
Worchester, UK, in 2010, a panel discussion entitled “discrete‐event simulation (DES) is …

Although public transportation vehicles often provide reasonable amounts of ventilation and
air filtration, their small volumes, and the close proximity of passengers may cause them to …

We propose a novel micro-level and spatially explicit agent-based modeling framework
dubbed TranEpiSim to model the spread of infectious diseases through micromobility …

Background The COVID-19 pandemic had a significant impact on the operations and
functionality of the public transport sector in the UK. This paper reflects on the experience of …

Omicron, a mutant strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
has spread around the world largely because of its potent immune evasion. However, the …

Computational simulation models have been widely used to study the dynamics of COVID-
19. Among those, bottom-up approaches such as agent-based models (ABMs) can account …