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Data · dataset · 2026

An Empirical Investigation into Crowd Operations at Sports Events: A Behavioural Operations Perspective

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.83056/mmu.34041987.v1

<p dir="ltr">This research thematically analysed crowd operations within the domain of crowd science.

Description

Crowd science as a domain, is an important topic to research to develop the safety, comfort and understanding of crowds. Crowd operations more specifically is about the planned processes and mechanisms to efficiently manage a large crowd of individuals within specific contexts.

Context, crowd flow and interdisciplinary are the main concepts investigated within crowd operations, at three case study major sports events. Thus, this thesis systematically unfolds the answer to the research question; ‘how is the flow of the crowd at sports events managed efficiently and effectively?</p><p dir="ltr">A domain map of the field (refer Figure 1) of crowd science was created to evidence the interdisciplinary nature of the domain.

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From the literature analysis a conceptual model was created with a new definition of crowd science, followed by a definition of crowd operations. The empirical findings evidenced what context and crowd flow truly means, as they are more complex than the literature suggests. The cases were cross-examined highlighting the similarities and differences across context and flow.

Further analysis evidenced what crowd methods organisers use, and the determinants that inform the chosen crowd methods. The discussion presents a robust theory of crowd operations, highlighting the rules of crowd operations developed.</p><p dir="ltr">Finally, the thesis concludes with answering the research question with; the flow of the crowd at sports events can be managed as effectively and efficiently as possible through understanding the elements of context, flow and crowd methods, and by using the 6+ determinants to inform what crowd methods to use.

Five future recommendations are given including the recommendation to examine the other types of flow not explored in this research; Emergency and Erratic. Also, to test the generalisability of some of the frameworks in other crowded situations, such as religious pilgrimages, music festivals, or crowded public places.</p>

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Ecological applications 69%
Provenance · 3 source records, 9 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/340419879 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/340419879 d agoJSON v1
DMU Figshareoai:figshare.com:article/340419879 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].anzsrc:group:4102enrichment · zivahub uct ac zataxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title