This session invites innovative advanced data intensive research on tourism-related issues with the goal of exchanging ideas, new approaches, and forming potential collaborations. The data revolution, which started during the past decade, brought new possibilities for decision making and innovation based on the novel methods of analysis of (typically) very large sets of data. Tourism analytics is a new area. Evidentially, the field is highly fragmented, the methods to analyze data are not firmly set, are still evolving and very fluid. We invite submissions in tourism analytics, including but not limiting to the following topics:
• Spatial data analysis and visualization with GIS and other geospatial technologies and models (GPS, RS, LiDAR, digital traces, etc.). This includes mapping of tourist routes, tourist flows, travel photo locations, geo-locations of tweets, emotional mapping, and other spatially distributed social data.
• Analysis of social media (Twitter, Facebook, Instagram and similar platforms), online customer reviews, tourist experiences reported online and other user-generated content.
• Analysis of unstructured data: text analysis, sentiment analysis, analysis of photographs and video.
• People as sensors (digital traces, big data from sensory experiences, Google glasses and similar technologies).
|Presenter||Jinwon Kim*, University of Florida, Brijesh Thapa, University of Florida, Eunjung Yang, University of Florida, Exploring the Spatio-Temporal Patterns of Visitor Flows in Seoraksan National Park using GPS-based Smart Phone Application||20||10:00 AM|
|Presenter||Lijuan Su*, University of Florida, Svetlana Stepchenkova, Department of Tourism, Recreation, and Sport Management, University of Florida, Moderating Role of Geospatial Proximity on Public Crisis Involvement: A Case Study of “Woman Attacked in Yitel” on Sina Weibo||20||10:20 AM|
|Presenter||Eunjung Yang*, University of Florida, Jinwon Kim, University of Florida, Lori Pennington-Gray, University of Florida, Measuring the impact of social media information on the spread of infectious diseases in tourism destination: A case study of Zika virus in Miami||20||10:40 AM|
|Presenter||Luyu Wang*, University of Florida, Angélica Almeyda Zambrano, University of Florida, Zhaohe Xu, Amazon.com, Inc, Mining online user-generated information: adopting sentiment analysis to study emotions on Natural Protected Areas||20||11:00 AM|
|Presenter||Juan R. Córdova*, Binghamton University, Tourist Spatial Behavior and Motivations: A Study of Non-U.S. Visitors in Puerto Rico||20||11:20 AM|
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