Authors: Yang Yang*, Temple University, Xiaowei Zhang, Harbin Institute of Technology, Yi Zhang, Peking University
Topics: Tourism Geography, China, Urban and Regional Planning
Keywords: Weibo; sentiment analysis; topic mining; geo-visualization; spatial-temporal analysis
Session Type: Paper
Start / End Time: 1:10 PM / 2:50 PM
Room: Congressional A, Omni, West
Presentation File: No File Uploaded
In this study, we collected more than 17 million geo-tagged Weibo posts within the urban area of Beijing in 2013 to understand tourists’ experience during the time when the Air Quality Health Index was very high. A corpus is proposed and developed to understand people’s attitudes toward air pollution, and the pollution-related emotion of tourists is analyzed. By comparing days with and without severe air pollution, we are able to understand the effect of air pollution on the pattern of tourists’ behavior (e.g., the location of activities) and general experience (e.g., the sentiment expressed in social media). Further, we compare this effect between tourists and Beijing residents, and a different level of pollution sensitivity and adaptation strategies are recognized. Lastly, some implications are provided for destination management and marketing.