A Computational Framework Incorporating Human and Social Behaviors for Occupant-centric Egress Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Computational Framework Incorporating Human and Social Behaviors for Occupant-centric Egress Simulation write by Mei Ling Chu. This book was released on 2015. A Computational Framework Incorporating Human and Social Behaviors for Occupant-centric Egress Simulation available in PDF, EPUB and Kindle. Emergency evacuation (egress) is an important issue in safety design of buildings. Studies of catastrophic incidents have highlighted the need to consider occupants' behaviors for better understanding of evacuation patterns. Although egress outcomes are influenced by human and social factors, quantifying these factors in design codes and standards is difficult because occupants' characteristics and emergency scenarios vary widely. As an alternative, computational egress simulation tools have been used to evaluate egress designs. However, most of current simulation tools oversimplify the behavioral aspects of evacuees. This thesis describes a flexible computational framework that incorporates human and social behaviors in simulations to aid occupant-centric egress design. Based on the analysis of literature in social science and disaster studies, the design requirements of SAFEgress (Social Agents For Egress), an agent-based simulation framework, are derived. In SAFEgress, the agent's decision-making process, the representation of the egress environment and the occupants, and the algorithms that emulate human capabilities in perception and navigation are carefully designed to simulate group dynamics and social interactions. A series of validation tests has been conducted to verify the capability of the framework to model a wide range of behaviors. Case studies of a museum and a stadium show that considering group navigation could cause additional bottlenecks on egress routes, thus prolong evacuation. On the other hand, by strategically arranging stewards to control crowd flow, evacuation time can be significantly improved. SAFEgress provides a means to systematically evaluate the effects of human and social factors on egress performance in buildings and facilities. Using the simulation results, facility managers and designers can develop occupant-centric solutions to crowd problems by addressing different scenarios and unique occupants' characteristics. Furthermore, the framework could be applied to support research in social science to investigate the collective behaviors of crowds in a built environment.
Computational Modeling of Human Behavior for Emergency Egress Analysis
Computational Modeling of Human Behavior for Emergency Egress Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Modeling of Human Behavior for Emergency Egress Analysis write by Xiaoshan Pan. This book was released on 2009-08. Computational Modeling of Human Behavior for Emergency Egress Analysis available in PDF, EPUB and Kindle. This writing addresses the problem of bringing the perspectives of psychology and sociology about human behavior in emergencies into computational models for egress analysis. Efficacious analysis of emergency egress is facilitated by incorporation of diverse human behavior into a Multi-Agent Simulation System for Egress analysis (MASSEgress). MASSEgress adopts a multi-agent based simulation paradigm to model evacuees as individual agents equipped with sensors, brains and actuators. Individual behavior is simulated through modeling of sensing, decision-making, behavior selection and motor control. Social behavior is simulated through modeling of individual behavior and interactions among individuals. Competitive, queuing, herding, and leader-following behaviors are modeled. MASSEgress is a computational framework; its modular design allows easy extensions to include additional behavior types.
Electronic Governance and Open Society: Challenges in Eurasia
Electronic Governance and Open Society: Challenges in Eurasia - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Electronic Governance and Open Society: Challenges in Eurasia write by Andrei Chugunov. This book was released on 2020-01-22. Electronic Governance and Open Society: Challenges in Eurasia available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 6th Conference on Electronic Governance and Open Society: Challenges in Eurasia, EGOSE 2019, held in St. Petersburg, Russia, in November 2019. The 32 revised full papers were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on smart city;digital government, society and economy; digital intelligence, data science and cybercrime; social networking and media.
Computational Modeling of Human and Social Behaviors for Emergency Egress Analysis
Computational Modeling of Human and Social Behaviors for Emergency Egress Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Modeling of Human and Social Behaviors for Emergency Egress Analysis write by Xiaoshan Pan. This book was released on 2006. Computational Modeling of Human and Social Behaviors for Emergency Egress Analysis available in PDF, EPUB and Kindle.
Social-Behavioral Modeling for Complex Systems
Social-Behavioral Modeling for Complex Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Social-Behavioral Modeling for Complex Systems write by Paul K. Davis. This book was released on 2019-03-18. Social-Behavioral Modeling for Complex Systems available in PDF, EPUB and Kindle. This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems
