A landscape of crowd-management support

An integrative approach

Journal Article (2016)
Author(s)

Nanda Wijermans (Stockholm University)

Claudine Conrado (Thales Nederland B.V.)

Jie Li (TU Delft - Human Technology Relations)

Maarten van Steen (University of Twente)

Claudio Martella (Vrije Universiteit Amsterdam)

Research Group
Human Technology Relations
Copyright
© 2016 Nanda Wijermans, Claudine Conrado, J. Li, Maarten van Steen, Claudio Martella
DOI related publication
https://doi.org/10.1016/j.ssci.2016.02.027
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 Nanda Wijermans, Claudine Conrado, J. Li, Maarten van Steen, Claudio Martella
Related content
Research Group
Human Technology Relations
Bibliographical Note
Accepted author manuscript@en
Issue number
July
Volume number
86
Pages (from-to)
142-164
Reuse Rights

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Abstract

Of the many crowd behavior models, very few have been used in assisting crowd management practice. This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting. Crowd research is similarly scattered across disciplines and needs integration to advance the field towards supporting practice. To address these needs, we present inCrowd, an integrated framework detailing a high-level architecture of a decision-support system for crowd management and model development. It also offers a lens for categorizing crowd literature, allowing us to present a structured literature review.

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