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Revealing Tourist Hotspots in Yogyakarta City Based on Social Media Data Clustering

Bibliographic Data

ID21216449
AuthorsTotok Wahyu WIBOWO (0000-0001-6807-4848), Sigit Heru Murti Budi SANTOSA, Bowo SUSILO (0000-0003-1184-5116, Universitas Gadjah Mada), Taufik Hery PURWANTO (Universitas Gadjah Mada)
Year2021
Volume34
Issue1
Pages218-225
Publication date2021-03-31
Open AccessYes
TypeARTICLE
VenueGeoJournal of Tourism and Geosites (JOURNAL)
Journal identifiersISSN: 2065-0817 • E-ISSN: 2065-1198
PublisherAsociatia de Geografie, Turism si Sport (PUBLISHER)
DOI10.30892/gtg.34129-640
OpenAlexW3135203482
LanguageEN
Citations received4
References cited16

Cities have a common characteristic in the form of land utilisation, which is dominated by built-up areas. Tourism is an essential aspect of city development because it can involve the identity of the city. Historical buildings, landmarks, shopping centres and museums are generally interesting places for tourists to visit. Yogyakarta, the research area, is synonymous as a city of culture and of students. Knowledge of the spatial clustering patterns of tourists can be one of the references for urban development. Social media data were used in the study as an alternative to direct data collection, which requires considerable resources. Flickr and Twitter were used as proxies to dete rmine the distribution of tourists, and the DBSCAN and HDBSCAN clustering algorithms were used to determine the centres of tourist activity. Furthermore, Flickr data were analysed temporally to determine the impact of the COVID-19 pandemic on tourism in Yogyakarta City. The clustering of social media data results shows that there are several city hotspots, besides the already well-known tourist attractions. Apart from city landmarks, several other tourist hotspots were revealed through the clustering process, such as accommodation, shopping centres, entertainment venues and souvenir shops, which also support tourism activities. The impact of COVID-19 on tourism in Yogyakarta City can be reflected through the number of uploaded photos by tourists on Flickr, which has decreased since March 2020

Advertising · Archaeology · Business · Cluster analysis · DBSCAN · Entertainment · Geography · Political science · Social media · Tourism · Upload · World Wide Web · Computer Science · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Human Mobility and Location-Based Analysis

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Citations per year0.8
Citation span2021 - 2025 (5)
Highly citedNo

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