Discovering Travel Spatiotemporal Pattern Based on Sequential Events Similarity
Joint Authors
Chen, Juanjuan
Huang, Liying
Wang, Chengliang
Zheng, Nijia
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Travel route preferences can strongly interact with the events that happened in networked traveling, and this coevolving phenomena are essential in providing theoretical foundations for travel route recommendation and predicting collective behaviour in social systems.
While most literature puts the focus on route recommendation of individual scenic spots instead of city travel, we propose a novel approach named City Travel Route Recommendation based on Sequential Events Similarity (CTRR-SES) by applying the coevolving spreading dynamics of the city tour networks and mine the travel spatiotemporal patterns in the networks.
First, we present the Event Sequence Similarity Measurement Method based on modelling tourists’ travel sequences.
The method can help measure similarities in various city travel routes, which combine different scenic types, time slots, and relative locations.
Second, by applying the user preference learning method based on scenic type, we learn from the user’s city travel historical data and compute the personalized travel preference.
Finally, we verify our algorithm by collecting data of 54 city travellers of their historical spatiotemporal routes in the ten most popular cities from Mafeng.com.
CTRR-SES shows better performance in predicting the user’s new city travel sequence fitting the user’s individual preference.
American Psychological Association (APA)
Chen, Juanjuan& Huang, Liying& Wang, Chengliang& Zheng, Nijia. 2020. Discovering Travel Spatiotemporal Pattern Based on Sequential Events Similarity. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1143085
Modern Language Association (MLA)
Chen, Juanjuan…[et al.]. Discovering Travel Spatiotemporal Pattern Based on Sequential Events Similarity. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1143085
American Medical Association (AMA)
Chen, Juanjuan& Huang, Liying& Wang, Chengliang& Zheng, Nijia. Discovering Travel Spatiotemporal Pattern Based on Sequential Events Similarity. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1143085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143085