Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

The lack of a comprehensive decision-making approach at the community level is an
important problem that warrants immediate attention. Network-level decision-making …

For households of all income levels, and especially for those that are food insecure, food
access can be threatened by natural hazards. Extreme natural hazards can disrupt critical …

Following the occurrence of an extreme natural or man-made event, community recovery
management should aim at providing optimal restoration policies for a community over a …

In this work, an agent-based model (ABM) of population evacuation during Hurricane
Harvey is developed. The ABM integrates data from several sources, including data about …

Agent-based modeling is increasingly being used in computational epidemiology to
characterize important behavioral dimensions, such as the heterogeneity of the individual …

In this article, we assign workplace attributes to each worker in each household in a
synthetic population using multiple censuses conducted in Japan. The synthetic population …

Modelling social phenomena in large-scale agent-based simulations has long been a
challenge due to the computational cost of incorporating agents whose behaviors are …

We examine several notions of what makes a simulation adequate, ie, good enough for
application. Social simulations, or artificial societies, are complex systems that integrate data …

This study presents a methodology for creating a synthetic travel demand, encompassing
households and individuals and their daily activities, to support agent-based modeling …