Spatio-Temporal Tourist Behavior (STTB) under digital footprints: a systematic literature review

Yuwei Xiao (), Shan Jiang () and Zhenxin Zhang ()
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Yuwei Xiao: Capital Normal University, College of Resource Environment & Tourism
Shan Jiang: Capital Normal University, College of Resource Environment & Tourism
Zhenxin Zhang: Capital Normal University, College of Resource Environment & Tourism

Information Technology & Tourism, 2025, vol. 27, issue 3, No 2, 517-545

Abstract: Abstract Spatio-Temporal Tourist Behavior (STTB) research focuses on interpreting and predicting tourist behavior patterns in a spatial and temporal framework. In recent years, digital techniques have been applied to STTB, enabling remarkable progress. This paper categorizes and lists the mainstream technologies for tracking and analyzing the spatio-temporal patterns of tourists, clarifying the precautions and principles for their application. To be specifically, there are three facets were investigated: (a) The characteristics of TDF data in STTB, including how data are collected and their advantages and limitations; (b) The technologies and methods used to support different research questions; and (c) The research gaps and the research trends of TDF data in behavioral research. The findings provide a thorough understanding of the state of TDF data application in STTB, giving valuable insights to drive growth both in theory and practice.

Keywords: Spatio-temporal tourist behavior; Tourism; Tourist digital footprints; Information and communication technologies; Tourist movement; Tourist flow (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s40558-025-00322-6

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