A landscape of crowd-management support: An integrative approach

Nanda Wijermans, Claudine Conrado, J Li, Maarten van Steen, Claudio Martella

Research output: Contribution to journalArticleScientificpeer-review

36 Citations (Scopus)
143 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)142-164
Number of pages23
JournalSafety Science
Volume86
Issue numberJuly
DOIs
Publication statusPublished - 2016

Keywords

  • Crowd management
  • Crowd modeling
  • Decision-support systems
  • System architecture

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  • Research Output

    • 36 Citations
    • 1 Dissertation (TU Delft)
    Open Access
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  • 184 Downloads (Pure)

    Cite this

    Wijermans, N., Conrado, C., Li, J., van Steen, M., & Martella, C. (2016). A landscape of crowd-management support: An integrative approach. Safety Science, 86(July), 142-164. https://doi.org/10.1016/j.ssci.2016.02.027