Authors: Fatema Tuz Nourin*, University of Wyoming
Topics: Geographic Information Science and Systems, Temporal GIS
Keywords: Social media, data mining, national park, Twitter, Flickr.
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Congressional B, Omni, West
Presentation File: No File Uploaded
Social media data can be a source of geo-rectified big data that can express people’s perception of a place of interest. This study intends to explore the human dynamics of social media data usage in Yellowstone National Park using the Flickr data. Data extracted from Flickr can be used to find out people’s points of interest inside the park. The extracted data can also raise some question to be analyzed for any further research. Human dynamics can also reveal the recreational use value of a National Park. Recreational ecological value is generally assessed by the Travel Cost Method (TCM) of valuation. Instead of using the traditional survey of willingness to travel, social media data is used to find the tourist’s home location by processing Geo-API data. For this study, the zonal travel cost estimation method is applied. Then the mean distance traveled would be revealed and would be used as a proxy variable of the recreational value of the park. This study can contribute to identifying human dynamics and the recreational value of a national park from social media data sources.