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Methodology

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Cycling and Motorcycling Tourism

Part of the book series: Tourism, Hospitality & Event Management ((THEM))

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Abstract

This chapter discusses the methodological framework for the empirical research on cycling and motorcycling tourism. Taking a critical realist approach to create knowledge, it illustrates the four-phased, mixed-method strategy later used to collect empirical evidence. It reflects upon the rationale for every methodological choice, illustrates the data collection process and reflects upon the strengths and weaknesses of quantitative, qualitative and mixed research methods. Several of these methods are critically presented: case study research, mobile video ethnography, ride-alongs, bio-sensing techniques, and self-report and observation techniques for emotion measurement, including facial action coding systems. Finally, the introduction of thick description and personas design as tools to integrate quantitative and qualitative data allows for a structured planning of the convergence of evidence from the multiple methodological sources.

My foregrounds are imaginary, my backgrounds real.

Gustave Flaubert (1821–1880 attributed)

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Notes

  1. 1.

    According to the analyses collected in the EU project RIDERSCAN by Delhaye and Marot (2015), the population of female riders of moped and motorcycles ranges between 5% and 15% of the European population; according to Istat’s survey “La pratica sportiva in Italia [The sport practice in Italy]” (https://www.istat.it/it/archivio/204663), the percentage of women older than 3 years practicing cycling sports in Italy amounted to 7.4% in 2015.

  2. 2.

    The SAM method uses a series of pictures of puppets “for measuring pleasure-displeasure, degree of emotional arousal and dominance-submissiveness” (Isomursu et al. (2007); Emocards are based on 16 cartoon faces which show eight distinct emotional responses Isomursu et al. (2007).

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    Dr. Anna Scuttari

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Scuttari, A. (2019). Methodology. In: Cycling and Motorcycling Tourism. Tourism, Hospitality & Event Management. Springer, Cham. https://doi.org/10.1007/978-3-030-17697-6_3

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