Abstract
The relationship between the structure of tourists’ sequence of activities within a destination trip and tourists’ expressed sentiment of those activities is investigated within a moments-based paradigm of experience. A database of approximately 7 million Flickr photos is used to describe the structure of visitor movements within London (e.g. the length of stay of visitors, the volume of visitors to specific London touchpoints, and the sequence in which activity touchpoints are visited) as well as the perceived visitor experience (i.e., positive or negative sentiment) of individual London touchpoints. Results provide theoretical support for the moments-based experience paradigm, and suggest that trip characteristics and trip sequencing can influence value in terms of visitor satisfaction. Methods and findings also demonstrate big data applications that inform the optimal design and management of tourist experiences.
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Stienmetz, J.L. (2018). Deconstructing Visitor Experiences: Structure and Sentiment. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_37
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DOI: https://doi.org/10.1007/978-3-319-72923-7_37
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