Exploring the Presence of Tourists’ Photos Through Algorithmic Visual Content Analysis

Authors

  • Kun Zhang College of Tourism and Service Management Nankai University
  • Qinghui Li College of Tourism and Service Management Nankai University
  • Hongyu Wang College of Tourism and Service Management Nankai University
  • Dongzhi Chen College of Tourism and Service Management Nankai University

Keywords:

big pictorial data, deep learning model, visual content analysis, tourism destination, user-generated photography

Abstract

Big pictorial data is a significant data resource for discovering tourists' behaviors and perceptions. Innovatively, this study adopted two deep learning models, namely scene recognition and semantic segmentation for uncovering the presence of tourist photos in a tourism destination. In all, 36497 photos shared by oversea tourists in Beijing were screened out by data mining and taken for visual content analysis. By developing two types of categories, the perceived destination attractions by tourists were analyzed. Theoretically, this study contributes to the establishment of a smart approach for understanding tourist preference through big pictorial data.

Author Biographies

Kun Zhang, College of Tourism and Service Management Nankai University

Dr. Kun Zhang is a lecturer in the College of Tourism and Service Management at Nankai University. Her research interests are tourism planning, with the focus on tourism destination image and AI technology, tourists' demands, and sustainable tourism planning.

Qinghui Li, College of Tourism and Service Management Nankai University

Qinhui Li is the Ph.D student of the college of Tourism and Service Management  at Nankai University. Qinghui's research interests include international tourism cooperation and sharing economy.

Hongyu Wang, College of Tourism and Service Management Nankai University

Hongyu (Prudent) Wang is a Postdoctoral candidate in the College of Tourism and Service Management at the NanKai University. Her research interests include touristic learning behaviour, educational tourism development and innovation of tourism education.

Dongzhi Chen, College of Tourism and Service Management Nankai University

Dongzhi Chen is the Ph.D candidate of the College of Tourism Service and Management at Nankai University. Her research focuses on tourism policy and destination image.

Downloads

Published

2019-12-07

How to Cite

Zhang, K., Li, Q., Wang, H. and Chen, D. (2019) “Exploring the Presence of Tourists’ Photos Through Algorithmic Visual Content Analysis”, e-Review of Tourism Research, 17(2). Available at: https://journals.tdl.org/ertr/index.php/ertr/article/view/499 (Accessed: 3August2021).

Issue

Section

Articles