Skip to main content

Research Repository

Advanced Search

A Socially Motivating and Environmentally Friendly Tour Recommendation Framework for Tourist Groups

Kargar, M.; Lin, Z.

A Socially Motivating and Environmentally Friendly Tour Recommendation Framework for Tourist Groups Thumbnail


Authors

M. Kargar



Abstract

Traveling in a group brings various social and environmental benefits, yet members might have different (and sometime conflicting) preferences. In this study, a tour recommendation framework is proposed that receives a set of must-visit and preferred points of interest from each tourist and forms multi-day tours that cover all must-visit points. Furthermore, the framework attempts to maximize fairness among group members. This ensures all members are motivated to participate in the group tour. While generating the itinerary, the framework also guarantees that a threshold on the commuted distance, time, and monetary budget is met on each day. The benefits of this approach are the maximization of social wellbeing and minimization of energy consumption. The advantages of the proposed framework are confirmed via a test using a Foursquare dataset of two major cities of New York and Tokyo and a user study.

Citation

Kargar, M., & Lin, Z. (2021). A Socially Motivating and Environmentally Friendly Tour Recommendation Framework for Tourist Groups. Expert Systems with Applications, 180, Article 115083. https://doi.org/10.1016/j.eswa.2021.115083

Journal Article Type Article
Acceptance Date Apr 17, 2021
Online Publication Date Apr 29, 2021
Publication Date Oct 15, 2021
Deposit Date Apr 19, 2021
Publicly Available Date Apr 29, 2023
Journal Expert Systems with Applications
Print ISSN 0957-4174
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 180
Article Number 115083
DOI https://doi.org/10.1016/j.eswa.2021.115083
Public URL https://durham-repository.worktribe.com/output/1244195

Files





You might also like



Downloadable Citations