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Navigating through the complex transport system: A heuristic approach for city tourism recommendation

Zheng, W; Liao, Z; Lin, Z

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Authors

W Zheng

Z Liao



Abstract

The fast development of machine learning and artificial intelligence has led to a great improvement of the smart tourism recommendation system, however many problems associated with the choice of transport modes in city tourism have yet to be solved. This research attempts to address this issue by proposing a model of customized day itineraries with consideration of transport mode choice. With improved particle swarm optimization and differential evolution algorithm, a nondominated sorting heuristic approach was devised. A case study was carried out in Chengdu, China to examine the performance of our approach. The results show that compared with extant methods, our approach achieves better performance. In addition, our approach can create more sensible, multifarious, and customized itineraries than previous methods. Tourism organizations and mobile map app providers could integrate our proposed model into their existing smart service systems, as part of their e-business or digital strategy for enhancing tourist experience.

Citation

Zheng, W., Liao, Z., & Lin, Z. (2020). Navigating through the complex transport system: A heuristic approach for city tourism recommendation. Tourism Management, 81, Article 104162. https://doi.org/10.1016/j.tourman.2020.104162

Journal Article Type Article
Acceptance Date May 21, 2020
Online Publication Date Jun 18, 2020
Publication Date 2020-12
Deposit Date May 28, 2020
Publicly Available Date Mar 28, 2024
Journal Tourism Management
Print ISSN 0261-5177
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 81
Article Number 104162
DOI https://doi.org/10.1016/j.tourman.2020.104162
Public URL https://durham-repository.worktribe.com/output/1269794

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