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Catastrophic events have raised numerous issues concerning how effectively the built environment accommodates the evacuation needs of individuals with disabilities. Individuals with disabilities represent a significant, yet often overlooked, portion of the population disproportionately affected in emergency situations. Incorporating disability considerations into emergency evacuation planning, preparation, and other activities is critical. The most widely applied method used to evaluate how effectively the built environment accommodates emergency evacuations is agent-based or microsimulation modeling. However, current evacuation models do not adequately address individuals with disabilities in their simulated populations. This manuscript describes the BUMMPEE model, an agent-based simulation capable of classifying the built environment according to environmental characteristics and simulating a heterogeneous population according to variation in individual criteria. The method allows for simulated behaviors which more aptly represent the diversity and prevalence of disabilities in the population and their interaction with the built environment. Comparison of the results of an evacuation simulated using the BUMMPEE model is comparable to a physical evacuation with a similar population and setting. The results of the comparison indicate that the BUMMPEE model is a reasonable approach for simulating evacuations representing the diversity and prevalence of disability in the population.

MIT course on agent-based modeling for health policy with AnyLogic Nathaniel Osgood - Associate Professor, University of Saskatchewan made a MIT graduate based course on agent-based modeling for health policy with AnyLogic. Please find the original materias here. Material from other supporting lectures and tutorials outside of the scope of this course can be accessed here. This page includes separate tables of materials for both lectures and Java for AnyLogic tutorials; assignments are also available.

This research note provides a general introduction to REsCape: an agent-based computational framework for studying the relationship between natural resources, ethnicity, and civil war. By permitting the user to specify: (i) different resource profiles ranging from a purely agrarian economy to one based on the artisanal or industrial extraction of alluvial or kimberlite diamonds; (ii) different patterns of ethnic domination, ethnic polarization, and varying degrees of ethnic salience; as well as (iii) specific modes of play for key agents, the framework can be used to assess the effects of key variables - whether taken in isolation or in various combinations - on the onset and duration of civil war. Our objective is to make REsCape available as an open source toolkit in the future, one that can be used, modified, and refined by students and scholars of civil war.

REFERENCE PEOPLE/ORGANISATION: XJ-Technologies LINKS: http://www.xjtek.com/ DESCRIPTION: AnyLogic is the only tool that supports all the most common simulation methodologies in place today: System Dynamics, Process-centric (AKA Discrete Event), and Agent Based Modeling. The unique flexibility of the modeling language enables the user to capture the complexity and heterogeneity of business, economic and social systems to any desired level of detail. AnyLogic's graphical interface, tools, and library objects allow you to quickly model diverse areas such as manufacturing and logistics, business processes, human resources, consumer and patient behavior. The object-oriented model design paradigm supported by AnyLogic provides for modular, hierarchical, and incremental construction of large models.

EpiSimS is a stochastic, agent-based simulation engine that models the spread of disease in regions, allowing for the assessment of disease prevention, intervention, and response strategies. EpiSimS explicitly represents the daily movements and interactions of synthetic individuals in a city or region, including their interactions with others. It is used as an experimental test bed for analyzing the consequences, feasibility, and effectiveness of response options to disease outbreaks.

The HYDRA integration architecture is an effort to develop a service-oriented architecture for integrated Web-based access of LANL agent-modeling capabilities. The work here includes both semantic and syntactic interoperability issues, optimization, computing performance, human machine interface design, and multi-scale, multi-model simulation and analysis software integration.

The potential for the Avian Flu (H5N1) virus to become a pandemic disease has mandated an examination of public health surveillance, response and containment strategies for developing countries. We have developed a Multi Agent System Simulation system known as IDESS (Infectious Disease Epidemic Simulation System) that rapidly constructs infectious disease models from existing data for any geographical region. This approach addresses an important area of infectious disease outbreak management, as it allows public health professionals to rapidly construct a simulation model for any geographic region and observe how an infectious disease spreads between communities. Such simulations will facilitate testing of containment strategies for rapid response.

Blog about agent-based modeling applied to socioeconomic development

Abstract: Bangladesh exemplifies the complex challenges facing densely populated coastal regions. The pressures on the country are immense: around 145 million people live within an area of just 145,000 sq-km at the confluence of three major river systems: the Ganges, the Brahmaputra and the Meghna. While progress has been made, poverty remains widespread, with around 39% of children under five malnourished. Most of its land-mass lies below 10m above sea level with considerable areas at sea level, leading to frequent and prolonged flooding during the monsoons. Sea level rise is leading to more flooding as storm surges rise off higher sea levels, pushing further inland. Higher sea levels also result in salt-water intrusion into freshwater coastal aquifers and estuaries, contaminating drinking water and farmland. Warmer ocean waters are also expected to lead to an increase in the intensity of tropical storms.

The HCSim model is used to gauge the impact of mass-casualty incidents on hospital capacity.

The interconnectedness of the global economy makes it more vulnerable to major shocks. In the wake of the 2008 financial meltdown, global leaders are acutely aware of the threats another such crisis would pose to economic recovery, social cohesion and political stability. How can governments and business prepare for and respond to such unanticipated events?

To introduce myself in the group: what I study and I teach, related to a new perspective in economic modeling.

simulation and network analysis for social science and enterprises: a  new business field (a mini survey) 1/4