Tourist Behavior Analytics
Tourist Behavior Analytics is a methodological framework within smart destination management that systematizes the collection, integration, and analysis of multimodal data to model and predict tourist decision-making patterns, mobility behaviors, and experiential preferences through advanced computational techniques.
271
Publications
13.8K
Citations
831
Authors
393
Institutions
Publications per year
2017–2026
193
Parents
271
A Big Data Analytics Method for Tourist Behaviour Analysis
Shah Jahan Miah, Huy Quan Vu, John Gammack et al. · Information & Management · 2016 · 384 citations · Full text
Forecasting tourist arrivals with machine learning and internet search index
Shaolong Sun, Yunjie Wei, Kwok‐Leung Tsui et al. · Tourism Management · 2018 · 374 citations
1–5 of 271
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393

Hong Kong Polytechnic University
Hong Kong, Hong Kong
14 h-index
17 publications
991 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
26 publications
1.8K citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
1.2K citations
Beijing Jiaotong University
Beijing, China
5 h-index
18 publications
757 citations
Academy of Mathematics and Systems Science
Beijing, China
5 h-index
11 publications
1.4K citations

The University of Queensland
Brisbane, Australia
5 h-index
5 publications
285 citations

Deakin University
Burwood, Australia
5 h-index
8 publications
198 citations

University of Salento
Lecce, Italy
4 h-index
12 publications
2.1K citations
1–8 of 393
10 publications · 1.7K citations
10
h-index
9 publications · 613 citations
9
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9 publications · 556 citations
9
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ITT · 7 publications · 307 citations
7
h-index
7 publications · 856 citations
6
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1–5