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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Heliyon, Vol 9, Iss 5, Pp e15526- (2023) |
Verlag/Hrsg.: |
Elsevier
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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 |