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Applied Crowd Science outlines the theory and applications of the crowd safety course that Prof. Keith Still has developed and taught worldwide for over thirty years. It includes the background and applications of the crowd risk assessment tools, as well as essays and case studies from international users (UK, Ireland, Canada, Australia, Holland, Belgium and Japan). Keith’s courses are mandatory training for all UK Police Public Event Commanders. The text covers legislation and guidance for crowd safety in places of public assembly, and outlines the requirements of a crowd risk assessment for mass gatherings. It draws on Prof. Still’s expert witness experience, highlighting both the problems you need to understand for your event planning.
Includes Case Studies from a Range of Event Sites Introduction to Crowd Science examines the growing rate of crowd-related accidents and incidents around the world. Using tools, methods, and worked examples gleaned from over 20 years of experience, this text provides an understanding of crowd safety. It establishes how crowd accidents and incidents (specifically mass fatalities in crowded spaces) can occur. The author explores the underlying causes and implements techniques for crowd risk analysis and crowd safety engineering that can help minimize and even eliminate occurrences altogether. Understand Overall Crowd Dynamics and Levels of Complex Structure The book outlines a simple modeling approach to crowd risk analysis and crowds safety in places of public assembly. With consideration for major events, and large-scale urban environments, the material focuses on the practical elements of developing the crowd risk analysis and crowd safety aspects of an event plan. It outlines a range of modeling techniques, including line diagrams that represent crowd flow, calculations of the speed at which a space can fill, and the time it takes for that space to reach critical and crush density. It also determines what to consider during the event planning and approval (licensing/permitting) phases of the event process. Introduction to Crowd Science addresses key questions and presents a systematic approach to managing crowd risks in complex sites. It provides an understanding of the complexity of a site, that helps youplan for crowds in public places.
Includes Case Studies from a Range of Event SitesIntroduction to Crowd Science examines the growing rate of crowd-related accidents and incidents around the world. Using tools, methods, and worked examples gleaned from over 20 years of experience, this text provides an understanding of crowd safety. It establishes how crowd accidents and incidents
- Includes easily accessible discrete models (cellular automata, artificial chemistry), a great number of informative illustrations, enlightening quotations, and an encyclopedic list of references.- Models and paradigms developed in the book can be applied to mathematical studies of affective collective intelligence, computational models of minds near the state of mental disorder, the design of massive-parallel prototypes of artificial consciousness, software implementations of affective cognition, and the design of hardware prototypes of emotional controllers.
Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. Presents the first book to cover the topic of modeling and analysis of groups in computer vision Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms Focuses on group and crowd analysis metrics Discusses real industrial systems dealing with the problem of analyzing groups and crowds
Presents a system for crowd management which integrates security with the other concerns for the health and safety for crowds, looking at the theories and practices of the management processes, plans, monitoring and evaluation of crowds. Structured into four sections written by experts with global experience in their field of excellence.
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.
Crowd behavior is one of the most colorful but least understood forms of human social behavior. This volume is a major contribution to the field of collective behavior, with implications for social movement analysis.McPhail's critical assessment of the major theories of crowd behavior establishes that, whatever their particular limitations and strengths, all share a general and serious flaw: their explanations were developed without prior examination of the behaviors to be explained. Drawing on a wide range of empirical studies that include his own careful field work, the author offers a new characterization of temporary gatherings. He presents a life cycle of gatherings and a taxonomy of forms of collective behavior within gatherings, as well as combinations of these forms and gatherings into larger events, campaigns and waves. McPhail also develops a new explanation for various ways in which purposive actors construct collective actions.
Computer graphics, multimedia and communications technology are now so much a part of life for most people in the developed world, that doing without them has become almost unthinkable. This book presents 10 papers selected from the 42 papers delivered at the ICCSCT 2023, the 5th International Conference on Computer Systems and Communication Technology, held on 24 and 25 November 2023 in Kuala Lumpur, Malaysia. The conference provides a premier interdisciplinary platform for researchers, practitioners, and educators from around the world to showcase and discuss the latest innovations, trends, challenges, and solutions in the fields of computer systems and engineering, computer graphics and multimedia, and communication technology. Topics are varied, and those covered include: improving mass-gathering management using process-mining techniques; research into monocular-vision target detection and localization under non-orthographic conditions; the use of Python, Owlready and Sparql in processing the words in an ontological model of public political discourse; and the development of a 3D visualization-training system for switch-room safety procedures. Offering a varied overview of some of the recent developments and innovations in computer systems and engineering, computer graphics and multimedia, and communication technology, the book will be of interest to all those working in the field.