Spatiotemporal Analysis of Rambling Activities: Approach to Inferring Visitor Satisfaction
Masakatsu Ohta (),
Yuta Watanabe () and
Toshiaki Miyazaki ()
Additional contact information
Masakatsu Ohta: NTT Corporation
Yuta Watanabe: The University of Aizu
Toshiaki Miyazaki: The University of Aizu
A chapter in Information and Communication Technologies in Tourism 2015, 2015, pp 551-563 from Springer
Abstract:
Abstract A method for investigating trajectories of rambling objects is proposed. The goal of this study is to infer people’s satisfaction with their experiences by using their trajectories. Two aspects of rambling activities—multi-stop and multi-purpose trips, and trips with unplanned stops at various destination—are examined using mathematical knot theory. A two-dimensional trajectory is transformed into a three-dimensional curve composed of geographical location and dwell time at the visited spots. The aspects of rambling activities are reflected in the shapes of the knots obtained by deforming the curve. An experiment using 135 participant trajectories obtained at a campus festival confirmed: (1) trajectories caused by rambling were effectively detected; and (2) our method reproduced the relation between rambling activities and a participant’s satisfaction with the festival. Namely, the more satisfied a participant was with the festival, the more likely he was to move around the venue. It is concluded that this method infers visitors’ satisfaction with their experiences and is useful for designing ideal spaces to induce rambling activities.
Keywords: Rambling activities; Visitor satisfaction; Trajectory; Knot theory; Topological feature (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-14343-9_40
Ordering information: This item can be ordered from
http://www.springer.com/9783319143439
DOI: 10.1007/978-3-319-14343-9_40
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().