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Deep learning to segment first-time and repeat travelers: Analyzing GPS data

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  • Yuan, Yingqi
  • Park, Sangwon

Abstract

In the competitive tourism landscape, effective market segmentation is essential for targeting high-value segments such as repeat visitors. However, limited research has leveraged en-route trip behaviors to distinguish first-time and repeat travelers. This study proposes travel mobility patterns as a novel explainable variable for data-driven a priori segmentation and evaluates various deep models for classifying predefined traveler types using GPS trajectory data from Incheon. Results indicate that convolutional neural networks outperform alternatives, achieving an average accuracy of 84.53 %, which highlights the promise of deep learning for behavioral segmentation using mobility big data. The findings advance the literature on data-driven a priori segmentation and offer actionable insights for destination marketers to monitor real-time market dynamics and develop tailored strategies.

Suggested Citation

  • Yuan, Yingqi & Park, Sangwon, 2025. "Deep learning to segment first-time and repeat travelers: Analyzing GPS data," Annals of Tourism Research, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:anture:v:115:y:2025:i:c:s0160738325001665
    DOI: 10.1016/j.annals.2025.104060
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    References listed on IDEAS

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    1. Andres Kuusik & Margus Tiru, 2014. "Segmentation of Repeat Visitors with the Help of Passive Mobile Positioning," Palgrave Macmillan Books, in: Marcello M. Mariani & Rodolfo Baggio & Dimitrios Buhalis & Christian Longhi (ed.), Tourism Management, Marketing, and Development, chapter 0, pages 113-131, Palgrave Macmillan.
    2. Xia, Jianhong (Cecilia) & Evans, Fiona H. & Spilsbury, Katrina & Ciesielski, Vic & Arrowsmith, Colin & Wright, Graeme, 2010. "Market segments based on the dominant movement patterns of tourists," Tourism Management, Elsevier, vol. 31(4), pages 464-469.
    3. Sara Dolnicar, 2022. "Market Segmentation for e-Tourism," Springer Books, in: Zheng Xiang & Matthias Fuchs & Ulrike Gretzel & Wolfram Höpken (ed.), Handbook of e-Tourism, chapter 36, pages 849-863, Springer.
    4. Lei Dong & Paolo Santi & Yu Liu & Siqi Zheng & Carlo Ratti, 2022. "The universality in urban commuting across and within cities," Papers 2204.12865, arXiv.org.
    5. McKercher, Bob & Wong, Celia & Lau, Gigi, 2006. "How tourists consume a destination," Journal of Business Research, Elsevier, vol. 59(5), pages 647-652, May.
    6. Jordi Suriñach & Josep A Casanovas & Marién André & Joaquim Murillo & Javier Romaní, 2019. "An operational definition of day trips: Methodological proposal and application to the case of the province of Barcelona," Tourism Economics, , vol. 25(6), pages 964-986, September.
    7. Wee-Kheng Tan & Yen-Cheng Chen, 2021. "Tourists’ work-related smartphone use at the tourist destination: making an otherwise impossible trip possible," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(11), pages 1526-1541, June.
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