Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3316615.3316656acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicscaConference Proceedingsconference-collections
research-article

Proposal of Method for Analyzing International Students' Tourism Behavior Using a Tourism Support System

Published: 19 February 2019 Publication History

Abstract

International students come to Japan to study or conduct research; however, they should be encouraged to tour Japan as well. To this end, we have developed and operated a system to support the tourism of international students in Japan. The tourism behavior of international students have been not sufficiently studied, however. Therefore, in this study, we at first present an analysis method to analyze international students' tourism behavior using the operational data of the tourism support system and then discuss the process of analysis method from the viewpoint of data acquisition and data visualization. We conducted analysis in three contents: 1. tourism preferences and attribute analysis at the individual level, 2. comparative analysis between a plan and actual tour at the group level, and 3. comparative analysis between the tourism preferences of international students and those of foreign tourists. Based on analysis results, we were able to characterize aspects of international students' tourism behavior, such as the tendencies of visiting places, preference for types of tourism activities, and trends in understanding Japanese language and culture. As future task, we intend to improve the method to raise the accuracy of our analysis in future research. Moreover, we will attempt to automate the analysis, and increase the comprehensiveness of the tourism support system according to knowledge on tourism behavior obtained by analysis.

References

[1]
Japan Student Services Organization. 2018. Result of an Annual survey of International Students in Japan.
[2]
Payne, K. A. 2010. Domestic travel by international students in New Zealand, PhD thesis, Southern Cross University, Australia.
[3]
Lan, T., Tomizawa, H., Ichikawa, H. and Abe, A. 2018. Development and Evaluation of Tourism Support System for a Group of International Students, Journal of Society for Tourism Informatics, 14(1), 85--100.
[4]
Ryan, C. and Zhang, Z. 2007. Chinese students: Holiday behaviours in New Zealand, Journal of Vacation Marketing, 13(2), 91--105.
[5]
Varasteh, H., Marzuki, A. and Rasoolimanesh, S. M. 2015. Factors affecting international students' travel behavior, Journal of Vacation Marketing, 21(2), 131--149.
[6]
Gardiner, S., King, B. and Wilkins, H. 2013. The travel behaviours of international students: nationality-based constraints and opportunities. Journal of Vacation Marketing, 19(4), 287--299.
[7]
Hughes, K., Wang, J. and Shu, M. 2015. Exploring the travel patterns, preferences and recommendations of Chinese university students living in Australia, Journal of Hospitality and Tourism Management, 23, 12--22.
[8]
Zakrisson, I. and Zillinger, M. 2012. Emotions in motion: tourist experiences in time and space. Current Issues in Tourism, 15(6), 505--523.
[9]
McKercher, B., Shoval, N., Ng, E. and Birenboim, A. 2011. First and repeat visitor behaviour: GPS tracking and GIS analysis in Hong Kong. Tourism Geographies, 14(1), 147--161.
[10]
Garcia-Palomares, J. C., Gutiérrez, J. and Mínguez, C. 2015. Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS, Applied Geography, 63, 408--417.
[11]
Kádár, B. and Gede, M. 2013. Where Do Tourists Go? Visualizing and Analysing the Spatial Distribution of Geotagged Photography, Cartographica: The International Journal for Geographic Information and Geovisualization, 48(2), 78--88.
[12]
Vu, H. Q., Li, G., Law, R. and Ye, B. H. 2015. Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos, Tourism Management, 46, 222--232.
[13]
Zheng, Y. T., Zha, Z. J., and Chua, T. S. 2012. Mining travel patterns from geotagged photos. ACM Transactions on Intelligent Systems and Technology, 3(3), 56:1--56:18.
[14]
Velasco, M., San Lucas, C., Ortiz, K., Vélez, J. and Vaca, C. 2017. Secrets of Quito: Discovering a city through TripAdvisor, Proceedings of 2017 Fourth International Conference on eDemocracy & eGovernment, 251--255.
[15]
Monteiro, B. R., Davis, C. A., and Fonseca, F. 2016. A survey on the geographic scope of textual documents. Computers & Geosciences, 96, 23--34.
[16]
Sharda, N. and Ponnada, M. 2008. Tourism blog visualizer for better tour planning, Journal of Vacation Marketing, 14(2), 157--167.
[17]
Pang, Y., Hao, Q., Yuan, Y., Hu, T., Cai, R. and Zhang, L. 2011. Summarizing tourist destinations by mining user-generated travelogues and photos. Computer Vision and Image Understanding, 115(3), 352--363.
[18]
Guo, L., Li, Z. and Sun, W. 2015. Understanding Travel Destinations from Structured Tourism Blogs, Proceedings of 2015 Wuhan International Conference on e-Business, 144--151.
[19]
Shimada, S., Nakamura, Y., Ogata, T., Ota, J., Kurata, Y. and Hara, T. 2015. An Interactive Tool for Trip planning Considering Replanning during Sightseeing, Journal of Japan Society for Tourism Informatics, 11(1), 99--110.
[20]
Japan Ministry of Economy, Trade and Industry. RESAS: Regional Economy and Society Analyzing System, https://resas.go.jp
[21]
Japan Travel Bureau. Tourism Resource List, https://www.jtb.or.jp/research/theme/resource/tourism-resource-list

Index Terms

  1. Proposal of Method for Analyzing International Students' Tourism Behavior Using a Tourism Support System

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications
      February 2019
      611 pages
      ISBN:9781450365734
      DOI:10.1145/3316615
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • University of New Brunswick: University of New Brunswick

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 19 February 2019

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. GIS analysis
      2. International student
      3. Tourism behavior
      4. Tourism support system

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      ICSCA '19

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 101
        Total Downloads
      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 06 Oct 2024

      Other Metrics

      Citations

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media