Analyzing trends in the spatial-temporal visitation patterns of mainland Chinese tourists in Sabah, Malaysia based on Weibo social big data

Conducting on-site surveys to assess tourists' spatial visitation patterns and preferences is both time and labor intensive. However, an assessment of regional visitation patterns based on social media data can be an important decision-making tool for tourism management. In this study, an assessment of the visitation patterns of Chinese mainland tourists in Sabah is conducted to identify high-visitation hotspots and their changes, as well as large-scale and small-scale temporal characteristics. The data is sourced from the Sina Weibo platform using web crawler technology. In this work, a spati... Mehr ...

Verfasser: Rayner Alfred
Zhu Chen
Oliver Valentine Eboy
Zhang Luxuan
Li Renjie
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: Heliyon, Vol 9, Iss 5, Pp e15526- (2023)
Verlag/Hrsg.: Elsevier
Schlagwörter: Social big data / Spatial-temporal visitation pattern / Spatial overlay analysis / Chinese tourists / Science (General) / Q1-390 / Social sciences (General) / H1-99
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26862238
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1016/j.heliyon.2023.e15526