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Spatiotemporal evolution and influencing factors of Zhangjiajie National Forest Park tourism network attention


Citation

Wu, Yurong and Bidin, Sheena and Johari, Shazali (2025) Spatiotemporal evolution and influencing factors of Zhangjiajie National Forest Park tourism network attention. Sustainability (Switzerland), 17 (16). art. no. 7182. pp. 1-18. ISSN 2071-1050

Abstract

Tourism network attention, defined as the quantifiable measure of public interest toward tourism destinations through online search activities, has become a crucial indicator for understanding tourist behavior in the digital era. This study analyzes the spatiotemporal evolution of tourism network attention for Zhangjiajie National Forest Park using Baidu index data from 2013 to 2023. Results show three temporal phases: rapid rise (2013–2017), fluctuation adjustment (2018–2020), and recovery growth (2021–2023), with a “double-peak” seasonal pattern in July–August and April–May. Spatial distribution exhibits a “high East, low West” pattern with gradually increasing balance (coefficient of variation: 0.6849→0.5382). GDP, internet users, and transportation accessibility are dominant factors influencing spatial patterns.


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Additional Metadata

Item Type: Article
Subject: Computer Science (miscellaneous)
Subject: Geography, Planning and Development
Divisions: Faculty of Forestry and Environment
DOI Number: https://doi.org/10.3390/su17167182
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Keywords: Baidu index; Geographic detector; National forest park; Spatial and temporal evolution; Tourism network attention
Sustainable Development Goals (SDGs): SDG 8: Decent Work and Economic Growth, SDG 11: Sustainable Cities and Communities, SDG 15: Life on Land
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 29 Apr 2026 03:12
Last Modified: 29 Apr 2026 03:12
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/su17167182
URI: http://psasir.upm.edu.my/id/eprint/123143
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