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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.

Forio simulations improve public policy development and implementation by allowing you to: *Model sophisticated behaviors by importing data and formulas from Excel, AnyLogic, and other programs. *Have global access to your Sim via popular web browsers. *Control access with secure user privileges. *Implement updates centrally, ensuring users have the most up-to-date information (preventing old or obselete info from being reused). *Operate worry-free, with dependable security and design measures. Customized simulations apps are easily accessible via standard web browsers, allowing users to easily make adjustments, share and compare results. With Forio's public policy simulations, users can create interactive online tools to generate, manipulate and illustrate "what if" scenarios that are ideal for long-term policy models.With Forio's public policy simulations, users can create interactive online tools to generate, manipulate and illustrate "what if" scenarios that are ideal for long-term policy models.

easy ready made tool to turn system dynamics models into playable games.

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.

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.

This article examines the foundations of gaming and related concepts, such as policy exercises and serious gaming, in a public policy making context. Examining the relevant publications in Simulation & Gaming since 1969, the author looks back at the development of gaming simulation for purposes such as public policy analysis and planning, and reviews the underlying theories and empirical evidence. The author highlights the recognition that the success of gaming for policy making derives largely from the unique power of that gaming to capture and integrate both the technical-physical and the social-political complexities of policy problems.

My view on the how, what and why of policy gaming.

Climate Interactive is building a community that creates, shares, and uses credible models, accessible simulations, and related media in order to improve the way leaders and citizens around the world think about the climate. Our purpose is to get these sims and insights into the world as accessible products so they can be tweaked, enhanced, translated, distributed and used to power change around the world. We're building sims that are easy to use by climate analysts, communicators, and leaders of many types, and that provide immediate feedback, so users can see the results of different scenarios on atmospheric carbon levels and temperature. And we're sharing our own analysis so that leaders have access to powerful insights. In particular, the "Climate Action Initiative" which includes policy leaders such as Dr. Robert Corell is using our simulations to make change at the highest levels of governments.

The Social Simulator is a hands-on, private environment to practice using the language, tools and norms of the social web for social media PR and crisis response

Organizations like World Bank and the CDC have discovered how easy it is to design policies, create customized policy models, facilitate decision-making, build stakeholder consensus and share insights with simulations by Forio.

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.

A new principle for calculation; can we apply it to social simulation? The video of the robot course is quite impressive.

"World Without Oil was a serious alternate reality game in 2007, a massively collaborative simulation of a global oil crisis. Here's the 411. Peak oil people, checkit! More at www.worldwithoutoil.org. Video by Kiyash Monsef!"

Based upon Yuval Portugali's work on complexity theory of the city.

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.

One of the market leading companies in Europe in virtual training simulations in emergency management.

We help cities, housing corporations and cultural organizations make interactive and collaborative plans with multiple stakeholders.

Nice example of how games can be used for urban planning.

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

simulation and network analysis for social science and enterprises: a  new business field (a mini survey) 3/4

simulation and network analysis for social science and enterprises: a  new business field (a mini survey) 2/4

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