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Crowd counting: a behavioural economics perspective
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 resear...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894972/ https://www.ncbi.nlm.nih.gov/pubmed/33642621 http://dx.doi.org/10.1007/s11135-021-01117-7 |
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author | Phillips, Peter J. Pohl, Gabriela |
author_facet | Phillips, Peter J. Pohl, Gabriela |
author_sort | Phillips, Peter J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7894972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78949722021-02-22 Crowd counting: a behavioural economics perspective Phillips, Peter J. Pohl, Gabriela Qual Quant Article 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. Springer Netherlands 2021-02-19 2021 /pmc/articles/PMC7894972/ /pubmed/33642621 http://dx.doi.org/10.1007/s11135-021-01117-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Phillips, Peter J. Pohl, Gabriela Crowd counting: a behavioural economics perspective |
title | Crowd counting: a behavioural economics perspective |
title_full | Crowd counting: a behavioural economics perspective |
title_fullStr | Crowd counting: a behavioural economics perspective |
title_full_unstemmed | Crowd counting: a behavioural economics perspective |
title_short | Crowd counting: a behavioural economics perspective |
title_sort | crowd counting: a behavioural economics perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894972/ https://www.ncbi.nlm.nih.gov/pubmed/33642621 http://dx.doi.org/10.1007/s11135-021-01117-7 |
work_keys_str_mv | AT phillipspeterj crowdcountingabehaviouraleconomicsperspective AT pohlgabriela crowdcountingabehaviouraleconomicsperspective |