Work

Spatiotemporal Evolution and Influencing Factors of Zhangjiajie National Forest Park Tourism Network Attention

Year: 2025

Type: article

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.

Source: Sustainability

DOI: 10.3390/su17167182

Authors: Yurong Wu, Sheena Bidin, Shazali Johari

Institutions: Universiti Putra Malaysia, i-CATS University College (i-CATS UC)

Language: English

Topic: Diverse Aspects of Tourism Research

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,896

OpenAlex ID: W4413248135

FWCI:

Cites: 37

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Related to: 10