Crowd counting: a behavioural economics perspective

Article


Phillips, Peter J. and Pohl, Gabriela. 2021. "Crowd counting: a behavioural economics perspective." Quality and Quantity: international journal of methodology. 55 (6), pp. 2253-2270. https://doi.org/10.1007/s11135-021-01117-7
Article Title

Crowd counting: a behavioural economics perspective

ERA Journal ID35715
Article CategoryArticle
AuthorsPhillips, Peter J. (Author) and Pohl, Gabriela (Author)
Journal TitleQuality and Quantity: international journal of methodology
Journal Citation55 (6), pp. 2253-2270
Number of Pages18
Year2021
PublisherSpringer
Place of PublicationNetherlands
ISSN0033-5177
1573-7845
Digital Object Identifier (DOI)https://doi.org/10.1007/s11135-021-01117-7
Web Address (URL)https://link.springer.com/article/10.1007/s11135-021-01117-7
Abstract

Developments in technology have facilitated the emergence of new crowd counting organisations. Some of the organisations have established platforms to disseminate their data, making it available to researchers for the first time. These databases promise to increase the quality and quantity of research in various fields. In the late 2010s, specialist crowd counting organisations emerged with the sole purpose of counting crowds at protests and disseminating the results, sometimes in a purely partisan manner. Because of the contemporary relevance of protest behaviour, we frame our discussion within this context. For social scientists considering the utilisation of these new databases, it is essential that crowd numbers be linked to underlying human behaviour in a way that promises a chain of connections to investigate and explore. We use behavioural economics to show why relative crowd size may be important for human decision-makers. And we show how the significance of relative crowd size relates to other aspects of the human decision-making process, including risk preferences and probability assessments. Far from being a theory of protest behaviour, we present a behavioural economics-based primer for empirical researchers and social scientists engaging with newly available crowd counting data. The conclusions may apply in other contexts and might be extended to encompass specific types of behaviour, including aggression and violence. Indeed, the conclusions may guide the analysis of the emergence of the crowd counting organisations themselves.

Keywordscrowd counting, behavioural economics, relative crowd size, protests, decision-making
ANZSRC Field of Research 2020380102. Behavioural economics
380304. Microeconomic theory
380113. Public economics - public choice
441006. Sociological methodology and research methods
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Byline AffiliationsSchool of Business
University of Southern Queensland
Institution of OriginUniversity of Southern Queensland
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