@article{3248ad2eb9aa4823934e01b1a0a63b69,
title = "Glossary for Research on Human Crowd Dynamics - 2nd Edition",
abstract = "Pedestrian and crowd dynamics involves multiple disciplines, including computer science, engineering, mathematics, physics, bio-mechanics, psychology, social science and more. For effective collaboration between disciplines, researchers need a common understanding of key concepts. To address this challenge, A Glossary for Human and Crowd Dynamics was published six years ago, providing researchers with a valuable reference for cross-disciplinary communication.We now present the second version, which includes 53 new concepts and 12 revisions from the first glossary, collaboratively developed by 65 contributors from various disciplines and regions around the world through a multi-stage process. This process involved identifying new concepts not covered in the first glossary and suggesting revisions to existing entries, voting on proposed additions and modifications, writing definitions for the selected concepts, and collaboratively revising and editing the entries.By introducing new terms and refining existing definitions, this glossary aims to facilitate clearer communication, improve conceptual consistency, and support collaboration among researchers working within the field of human and crowd dynamics from diverse perspectives.",
keywords = "Anticipation, Behaviour, Behavioural repertoire, Behavioural uncertainty, Behaviour (Collective), Behaviour (Operational/Tactical/Strategic), Behaviour (Rational), Behaviour (Non-rational), Behaviour (Irrational), Behaviour detection, Pushing behaviour, Bottleneck, Cognition, Cognitive maps, Competitiveness, Crush, Crowd composition, Crowd incident, Crowding, Density, Distance, Egress, Egressibility, Emergent phenomena, Evacuation, Evacuation guidance, Experiment, Falling, Falls, Field study, Flow, Flow rate, Fundamental diagram, Gait analysis, Gathering (Crowd/Mass/Religious), Group, Groupthink, In-group, Social group, Prototypical group member, Headway, Ingress, Interaction, Leader, Level of service, Model (Hybrid), Model (Machine learning), Movement direction, Heading, Motivation, Navigation, Objective, Target, Purpose, Goal, Panic, Pedestrian, People counting, Perception, Risk perception, Personal space, Response time, Single-file, Single-file motion, Stampede, Trajectory, Velocity, Observed velocity, Free velocity, Desired velocity, Waiting, Zipper effect",
author = "Juliane Adrian and Martyn Amos and C{\'e}cile Appert-Rolland and Mitra Baratchi and Nikolai Bode and Maik Boltes and Thomas Chatagnon and Mohcine Chraibi and Alessandro Corbetta and Arturo Cuesta and Guillaume Dezecache and John Drury and I{\~n}aki Echeverr{\'i}a-Huarte and Sina Feldmann and Claudio Feliciani and Lazaros Filippidis and Zhi-Jian Fu and Paul Geoerg and Roland Geraerts and Rhea Haddad and Milad Haghani and Gesine Hofinger and Nick Hopkins and Pavel Hrab{\'a}k and Aoife Hunt and Xiaolu Jia and Max Kinateder and Angelika Kneidl and Krisztina Konya and Gerta K{\"o}ster and Laura K{\"u}nzer and Mira K{\"u}pper and Peter Lawrence and Ruggiero Lovreglio and Jian Ma and Fergus Neville and Alexandre Nicolas and Katsuhiro Nishinari and Evangelos Ntontis and Anne-H{\'e}l{\`e}ne Olivier and Daniel Parisi and Julien Pettr{\'e} and Tom Postmes and {Ramachandra Rao}, Kalaga and Enrico Ronchi and Andreas Schadschneider and Jette Schumann and Sebasti{\'a}n Seriani and Armin Seyfried and Anna Sieben and Michael Spearpoint and Sullivan, {Gavin Brent} and Anne Templeton and Peter Thompson and Akiyasu Tomoeda and Antoine Tordeux and Claudia Totzeck and Ezel {\"U}sten and {Van der Wal}, Natalie and Ashish Verma and Nanda Wijermans and Zeynep Y{\"u}cel and Francesco Zanlungo and Jun Zhang and Iker Zuriguel",
year = "2025",
month = may,
day = "19",
doi = "10.17815/CD.2025.189",
language = "English",
volume = "10",
pages = "1--32",
journal = "Collective Dynamics",
issn = "2366-8539",
}