Vol.13, No.3, August 2024.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Unveiling Socio-Demographic Profile of Rally Attendees in Rural and Depopulating Areas

 

José E. Ramos-Ruiz, Miguel Á. Solano-Sánchez, Minerva Aguilar-Rivero, Lucía Castaño-Prieto

 

© 2024 Lucía Castaño-Prieto, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 13, Issue 3, Pages 2162-2176, ISSN 2217-8309, DOI: 10.18421/TEM133-44, August 2024.

 

Received: 17 February 2024.

Revised:   10 June 2024.
Accepted: 21 June 2024.
Published: 27 August 2024.

 

Abstract:

 

Sporting events, integral to contemporary societies, not only enrich individual lives and drive economic growth but also profoundly influence the well-being of the communities they engage. This research employs an artificial neural network to investigate variations in the socio-demographic profile of motorsports event attendees, encompassing factors such as prior attendance, gender, age, education level, and income. Through inquiries into motivations, perceptions, experiences, and emotions related to the event, the study aims to construct adaptable ‘identikits’ or estimated profiles of participants. This innovative approach, easily customised by researchers, proves instrumental in developing sustainable products and services tailored to the preferences of high-speed sports event attendees. The results highlight attendance at previous editions of this event as the most influenced variable. Profiles with higher income have a better perception that the event improves the province’s image, although the overall evaluation is lower. Consequently, the practical contributions of this research extend to providing event promoters with comprehensive profiles of their target audience, fostering sustainability and strategic planning in motorsports events.

 

Keywords – Sporting events, rally, artificial neural networks, socio-demographic profiles, attendees.

 

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