REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING
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 place...
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doaj-a96c28073bee4ccd847348ed9602817c2021-04-28T11:38:49ZengEditura Universităţii din OradeaGeo Journal of Tourism and Geosites2065-08172021-03-0134121822510.30892/gtg.34129-640REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERINGTotok Wahyu WIBOWO0Sigit Heru Murti Budi SANTOSA1Bowo SUSILO2Taufik Hery PURWANTO3Faculty of Geography, Universitas Gadjah Mada, Department of Geographic Information Science, Yogyakarta, Indonesia, e-mail: totok.wahyu@ugm.ac.idUniversitas Gadjah Mada, Faculty of Geography, Department of Geographic Information Science, Yogyakarta, Indonesia, e-mail: sigit.heru.m@ugm.ac.idUniversitas Gadjah Mada, Faculty of Geography, Department of Geographic Information Science, Yogyakarta, Indonesia, e-mail: bowosusilo@ugm.ac.idUniversitas Gadjah Mada, Faculty of Geography, Department of Geographic Information Science, Yogyakarta, Indonesia, e-mail: taufik@ugm.ac.idCities 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.http://gtg.webhost.uoradea.ro/PDF/GTG-1-2021/gtg.34129-640.pdfsocial mediaflickrtwitterhdbscancovid-19 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Totok Wahyu WIBOWO Sigit Heru Murti Budi SANTOSA Bowo SUSILO Taufik Hery PURWANTO |
spellingShingle |
Totok Wahyu WIBOWO Sigit Heru Murti Budi SANTOSA Bowo SUSILO Taufik Hery PURWANTO REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING Geo Journal of Tourism and Geosites social media flickr hdbscan covid-19 |
author_facet |
Totok Wahyu WIBOWO Sigit Heru Murti Budi SANTOSA Bowo SUSILO Taufik Hery PURWANTO |
author_sort |
Totok Wahyu WIBOWO |
title |
REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING |
title_short |
REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING |
title_full |
REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING |
title_fullStr |
REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING |
title_full_unstemmed |
REVEALING TOURIST HOTSPOTS IN YOGYAKARTA CITY BASED ON SOCIAL MEDIA DATA CLUSTERING |
title_sort |
revealing tourist hotspots in yogyakarta city based on social media data clustering |
publisher |
Editura Universităţii din Oradea |
series |
Geo Journal of Tourism and Geosites |
issn |
2065-0817 |
publishDate |
2021-03-01 |
description |
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. |
topic |
social media flickr hdbscan covid-19 |
url |
http://gtg.webhost.uoradea.ro/PDF/GTG-1-2021/gtg.34129-640.pdf |
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