Cluster analysis of microscopic spatio-temporal patterns of tourists' movement behaviors in mountainous scenic areas using open GPS-trajectory data. (December 2022)

• Record Type: Journal Article
• Authors: Liu, Wenbao; Wang, Bingxue; Yang, Yang; Mou, Naixia; Zheng, Yunhao; Zhang, Lingxian; Yang, Tengfei
• Is Part Of: Tourism management. Volume 93(2022)
• Publication Date: 2022-12
• Subjects: Open GPS-Trajectory data -- Movement pattern -- Spatio-temporal behaviors -- Time geography -- Trajectory classification -- Spatial gridding -- Stay time -- Transfer probability -- Time allocation; Tourism -- Periodicals; 338.4791
• DOI: 10.1016/j.tourman.2022.104614
• Languages: English
• ISSNs: 0261-5177

Abstract

Abstract: Understanding spatio-temporal patterns of tourist movement behaviors is vital for Destination Management Departments (DMDs) on destination planning, marketing, and resource management. This study uses open GPS-trajectory data to analyze the microscopic spatio-temporal patterns of tourists' movement behaviors in Mount Huashan in China. Two major measures, Markov chains and cluster analysis, are used to cluster tourists into groups to show their spatio-temporal movement behaviors within the study site. The Markov chain analysis unveiled three kinds of spatial patterns on microscopic tourists' movement: "proximity transfer", "span transfer" and "hub transfer", while the cluster analysis further demonstrated three kinds of microscopic spatio-temporal patterns: "day-climbing", "night-climbing", and "full-day sightseeing". These results provide vital implications for tourism management of the mountainous scenic areas in general and in Mount Huashan in particular. Graphical abstract: Image 1