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TriPlan: an interactive visual analytics approach for better tourism route planning
ABSTRACT: Continuous research and development of novel tourism routes is necessary for tourism service providers to improve the tourist experience and industrial competitiveness. However, the route planning is cumbersome due to the time-consuming, extensive, and costly field study. Most of the exist...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380984/ https://www.ncbi.nlm.nih.gov/pubmed/35992626 http://dx.doi.org/10.1007/s12650-022-00861-8 |
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author | Zhang, Xinyi Pang, Xiao Wen, XiaoLin Wang, Fengjie Li, Changlin Zhu, Min |
author_facet | Zhang, Xinyi Pang, Xiao Wen, XiaoLin Wang, Fengjie Li, Changlin Zhu, Min |
author_sort | Zhang, Xinyi |
collection | PubMed |
description | ABSTRACT: Continuous research and development of novel tourism routes is necessary for tourism service providers to improve the tourist experience and industrial competitiveness. However, the route planning is cumbersome due to the time-consuming, extensive, and costly field study. Most of the existing route planning studies focus on recommending tourism routes for users based on attraction characteristics or tourist behavior features, which are generally unexplainable due to the black-box approaches they use. Other solutions allow users to customize itineraries through an interactive interface but often lack guidance from the aspect of route evaluation or destination image perception. In this paper, we thoroughly discuss the requirements and design tasks with domain experts and propose TriPlan, an interactive visual analytics system that provides intuitive planning guidance for tourism product developers. We design and improve multiple coordinated visualizations to facilitate analysis from the perspectives of overall route pattern and individual destination image. We also develop a hierarchical planning view to display the structural information of a plan. In addition, we introduce an automatic route optimization algorithm and multiple interactions to assist users in optimizing and adjusting the itineraries. Finally, we evaluate the usability and effectiveness of our system through three case studies and quantitative and qualitative interviews with the domain experts on real-world datasets. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12650-022-00861-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-9380984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93809842022-08-17 TriPlan: an interactive visual analytics approach for better tourism route planning Zhang, Xinyi Pang, Xiao Wen, XiaoLin Wang, Fengjie Li, Changlin Zhu, Min J Vis (Tokyo) Regular Paper ABSTRACT: Continuous research and development of novel tourism routes is necessary for tourism service providers to improve the tourist experience and industrial competitiveness. However, the route planning is cumbersome due to the time-consuming, extensive, and costly field study. Most of the existing route planning studies focus on recommending tourism routes for users based on attraction characteristics or tourist behavior features, which are generally unexplainable due to the black-box approaches they use. Other solutions allow users to customize itineraries through an interactive interface but often lack guidance from the aspect of route evaluation or destination image perception. In this paper, we thoroughly discuss the requirements and design tasks with domain experts and propose TriPlan, an interactive visual analytics system that provides intuitive planning guidance for tourism product developers. We design and improve multiple coordinated visualizations to facilitate analysis from the perspectives of overall route pattern and individual destination image. We also develop a hierarchical planning view to display the structural information of a plan. In addition, we introduce an automatic route optimization algorithm and multiple interactions to assist users in optimizing and adjusting the itineraries. Finally, we evaluate the usability and effectiveness of our system through three case studies and quantitative and qualitative interviews with the domain experts on real-world datasets. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12650-022-00861-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2022-08-16 2023 /pmc/articles/PMC9380984/ /pubmed/35992626 http://dx.doi.org/10.1007/s12650-022-00861-8 Text en © The Visualization Society of Japan 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Paper Zhang, Xinyi Pang, Xiao Wen, XiaoLin Wang, Fengjie Li, Changlin Zhu, Min TriPlan: an interactive visual analytics approach for better tourism route planning |
title | TriPlan: an interactive visual analytics approach for better tourism route planning |
title_full | TriPlan: an interactive visual analytics approach for better tourism route planning |
title_fullStr | TriPlan: an interactive visual analytics approach for better tourism route planning |
title_full_unstemmed | TriPlan: an interactive visual analytics approach for better tourism route planning |
title_short | TriPlan: an interactive visual analytics approach for better tourism route planning |
title_sort | triplan: an interactive visual analytics approach for better tourism route planning |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380984/ https://www.ncbi.nlm.nih.gov/pubmed/35992626 http://dx.doi.org/10.1007/s12650-022-00861-8 |
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