Japan Geoscience Union Meeting 2023

Presentation information

[E] Online Poster

H (Human Geosciences ) » H-TT Technology & Techniques

[H-TT14] Geographic Information Systems and Cartography

Thu. May 25, 2023 1:45 PM - 3:15 PM Online Poster Zoom Room (5) (Online Poster)

convener:Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo), Yoshiki Wakabayashi(Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University), Yuei-An Liou(National Central University), Ruci Wang(Center for Environmrntal Remote Sensing, Chiba University)


On-site poster schedule(2023/5/24 17:15-18:45)

1:45 PM - 3:15 PM

[HTT14-P02] A study of data analysis on tourist attractions in Taoyuan City using Volunteered Geographic Information

★Invited Papers

Ming-Da Tsai1, *Pin-Yu Hou1, Kuan-Wen Tseng1, Yu-Ching Lin1 (1.Chung Cheng Institute of Technology,NDU)

Keywords:Volunteered Geographic Information, Geographic Information System, Spatial Information, Social Media

With the increasing use of smart phones and the Internet, many social media platforms have become a trend. Users can share descriptions of places or events in a specific time and space environment through social media platforms. Geographical data such as geotags and check-in are regarded as a kind of Volunteered Geographic Information (VGI). With the development of social media, this data also increases, and the amount of data it provides is more valuable and has the potential to be used. It is used to discover areas and attractions where tourists gather. This study uses different social media as research materials, and selects the Taoyuan area as the research area, collects check-in data and photos through social media such as Facebook, Flickr, Instagram, etc. Based on the statistics from the Executive Information System, Department of Tourism, this paper evaluates the spatial distribution characteristics, ethnic groups, seasons of those popular scenic spots on social media. The information of the analysis can provide Taoyuan government for tourism-related plans. Also, it can be used to analyze the potential of investors can analyze tourism business opportunities, or tourists can select suitable tourist attractions based on the analyzed data.