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Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument

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  • Asakura, Yasuo
  • Iryo, Takamasa

Abstract

Recently, tracking-type travel data collection methods using mobile communication instruments have developed rapidly. The detailed and accurate travel data are useful for understanding travel behaviour and evaluating the actual effects of transport policy such as traffic demand management. This paper studies a simple index of a tourist behaviour using tracking data collected with a mobile instrument. Based on the proposed index and actual data collected in Kobe, cluster analysis is applied to find the topological characteristics of tourist behaviour.

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  • Asakura, Yasuo & Iryo, Takamasa, 2007. "Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 684-690, August.
    • Handle: RePEc:eee:transa:v:41:y:2007:i:7:p:684-690
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    1. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
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    2. Hee Chung Chung & Namho Chung & Yoonjae Nam, 2017. "A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    3. Jun Shao & Xuesong Chang & Alastair M. Morrison, 2017. "How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    4. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
    5. Xiaofeng Lou & Changhai Peng, 2022. "Planning of a comprehensive transportation system in Ma’anshan based on mobile phone signaling data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9380-9406, July.
    6. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2022. "Study on Peak Travel Avoidance Behavior of Car Travelers during Holidays," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    7. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    8. Satomi Kimijima & Masahiko Nagai, 2017. "Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    9. Slak Valek, Nataša, 2015. "Tourism expenditure according to mode of transportation: A comparative study between 2009 and 2012," MPRA Paper 77406, University Library of Munich, Germany, revised 07 Oct 2015.
    10. Moiseeva, Anastasia & Timmermans, Harry, 2010. "Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 189-199.
    11. Chang-jun Cai & En-jian Yao & Sha-sha Liu & Yong-sheng Zhang & Jun Liu, 2015. "Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-7, February.
    12. Qiqi Liu & Xiaolan Tang & Ka Li, 2022. "Do Historic Landscape Images Predict Tourists’ Spatio-Temporal Behavior at Heritage Sites? A Case Study of West Lake in Hangzhou, China," Land, MDPI, vol. 11(10), pages 1-20, September.
    13. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    14. Kwang-Sub Lee & Jin Ki Eom & Jun Lee & Sangpil Ko, 2021. "Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    15. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2020. "Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    16. Anne Hardy & Sarah Hyslop & Kate Booth & Brady Robards & Jagannath Aryal & Ulrike Gretzel & Richard Eccleston, 2017. "Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion," Information Technology & Tourism, Springer, vol. 17(3), pages 255-274, September.
    17. Yuji Yoshimura & Stanislav Sobolevsky & Carlo Ratti & Fabien Girardin & Juan Pablo Carrascal & Josep Blat & Roberta Sinatra, 2014. "An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data," Environment and Planning B, , vol. 41(6), pages 1113-1131, December.
    18. Liguang, Feng & Haozhi, Zhang & Yulin, Jiang & Zhaorong, Wang, 2010. "Evaluation on the Effect of Car Use Restriction Measures in Beijing," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207232, Transportation Research Forum.

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