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Progressive Tourism: Integrating Social, Transportation, and Data Networks

Progressive Tourism: Integrating Social, Transportation, and Data Networks

Edward Pultar, Martin Raubal
Copyright: © 2010 |Pages: 15
ISBN13: 9781605668185|ISBN10: 1605668184|ISBN13 Softcover: 9781616924614|EISBN13: 9781605668192
DOI: 10.4018/978-1-60566-818-5.ch009
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MLA

Pultar, Edward, and Martin Raubal. "Progressive Tourism: Integrating Social, Transportation, and Data Networks." Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design, edited by Nalin Sharda, IGI Global, 2010, pp. 145-159. https://doi.org/10.4018/978-1-60566-818-5.ch009

APA

Pultar, E. & Raubal, M. (2010). Progressive Tourism: Integrating Social, Transportation, and Data Networks. In N. Sharda (Ed.), Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design (pp. 145-159). IGI Global. https://doi.org/10.4018/978-1-60566-818-5.ch009

Chicago

Pultar, Edward, and Martin Raubal. "Progressive Tourism: Integrating Social, Transportation, and Data Networks." In Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design, edited by Nalin Sharda, 145-159. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-818-5.ch009

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Abstract

This research examines tourism behavior using Internet-based websites that provide free lodging with local residents. Increases in computing power and accessibility have led to novel e-tourism techniques and the users of such systems utilize an amalgamation of social networks, transportation networks, and data communication networks. The chapter focuses on how the geographical spread of people in a modern, digital social network (CouchSurfing) influences the travel choices of each individual in the network. Activities performed in coordination with this type of system can vary greatly in travel mode, accessibility, mobility, and time, among other factors. This research studies factors that influence a general model describing traveler behavior using a cost-free lodging network. The authors present an information representation and visualization methodology utilizing time-geographic dimensions.

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