Tourism analytics: social media, spatially distributed data and data mining in tourism research 3

Type: Paper
Sponsor Groups: Recreation, Tourism, and Sport Specialty Group, Media and Communication Geography Specialty Group
Poster #:
Day: 4/6/2019
Start / End Time: 5:00 PM / 6:40 PM (MDT)
Room: Congressional A, Omni, West
Organizers: Andrei Kirilenko
Chairs: Andrei Kirilenko

Call for Submissions

Based on a successful Tourism Analytics session held within AAG2018, we are inviting oral presentations on data intensive and spatial analysis in tourism with particular interest in data mining, text mining, image recognition, user-generated content, GIS analysis and similar application outlined in Description section. This session is targeting innovative advanced data intensive research in tourism with the goal of exchanging ideas, new approaches, and potential collaborations. Please e-mail paper titles and abstracts to session organizers Andrei Kirilenko ( and Jin-Won Kim ( prior to the deadline of November 8, 2018. Abstracts may not exceed 250 words.


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) vary large sets of data. Tourism Analytics is a new area in tourism research and education. Evidentially, the field is highly fragmented, the methods to analyze data are not firmly set, are still evolving and very fluid. However, the following common key areas, and methods emerge:
• Spatial data analysis and visualization with GIS. Includes mapping of tourist routes, travel photo locations, geo-locations of tweets, 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. Involves network analysis, data mining and text analysis.
• Analysis of unstructured data: text analysis, analysis of photos and videos
• Sentiment analysis: one of the most active research areas in natural language processing, web/social network mining, and text/multimedia data mining.
• People as sensors (digital traces, big data from sensory experiences, Google glasses and such)


Type Details Minutes Start Time
Presenter Jinwon Kim*, University of Florida, Seongsoo Jang, Cardiff University, Seunghyun Kim, Michigan State University, Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes 20 5:00 PM
Presenter Janika Raun*, University of Tartu, Department of Geography, The role of major gateways on national tourism flows: A tale of two countries 20 5:20 PM
Presenter Haiqin Zhang*, East China Normal University, School of Geography Sciences, Spatial and Temporal Distribution and Emotional Mining of Shanghai Disney Tourists Based on Big Data 20 5:40 PM
Discussant Jinwon Kim University of Florida 5 6:00 PM
Discussant Andrei Kirilenko University of Florida 5 6:05 PM
Discussant Yang Yang Temple University 5 6:10 PM

To access contact information login