A Landscape of Crowd-management Support: An Integrative Approach

Nanda Wijermans (Corresponding Author), C. Conrado, Martinus Richardus van Steen, Claudio Martella, Jie Li

    Research output: Contribution to journalArticleAcademicpeer-review

    36 Citations (Scopus)
    625 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
    DOIs
    Publication statusPublished - Jul 2016

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