IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i17p4738-d262428.html
   My bibliography  Save this article

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

Author

Listed:
  • Angela Chantre-Astaiza

    (Departamento de Ciencias del Turismo, Universidad del Cauca, Popayán 190001, Colombia
    Current address: Calle 5 4-70, Popayán 190001, Colombia.)

  • Laura Fuentes-Moraleda

    (Vicalvaro Campus, Rey Juan Carlos University, Paseo Artilleros sn, 28032 Madrid, Spain)

  • Ana Muñoz-Mazón

    (Vicalvaro Campus, Rey Juan Carlos University, Paseo Artilleros sn, 28032 Madrid, Spain)

  • Gustavo Ramirez-Gonzalez

    (Departamento de Telemática, Universidad del Cauca, Popayán 190001, Colombia)

Abstract

The tracking of tourist movements is an essential aspect in the management of sustainable tourist destinations. The current information and communication technologies provide innovative ways of collecting data on tourist movements, but it is still necessary to evaluate tools and methods of study for this challenge. At this point, mobile technologies are the best candidate for this task. Given the relevance of the topic, this paper proposes a mapping science analysis of publications on “movement of tourists” and “traceability.” It has been carried out in the two main sources WOS and SCOPUS. The term “traceability” is brought from industry and technology areas to be applied to the tourist movement/mobility tracking and management. The methodological scheme is based on a selection of search criteria with combinations of terms. The sources of specialized information in applied social sciences and technology were then selected. From there, the searches have been executed for their subsequent analysis in three stages—(I) relevance analysis filtering the results to obtain the most pertinent; (II) analysis of articles with similarity thematic, authors, journals or citations; (III) analysis of selected papers as input for the mapping analysis using Citespace. The automatic naming of clusters under the selected processing confirms that the analysis of movements is a valid scientific trend but research-oriented from the perspective of traceability is non-existent, so this approach is novel and complementary to existing ones and a potential contribution to knowledge about tourist movements. Finally, a set of methodological considerations and a classification of information capture tools are proposed. In this classification, mobile technology is the best option to enable tourist movement analysis.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4738-:d:262428
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/17/4738/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/17/4738/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wenping Liu & Chenlu Dong & Weijuan Chen, 2017. "Mapping and Quantifying Spatial and Temporal Dynamics and Bundles of Travel Flows of Residents Visiting Urban Parks," Sustainability, MDPI, vol. 9(8), pages 1-15, July.
    2. Katarzyna Kozicka & Romuald Szopa, 2016. "Managing Of The Tourist Destinations Offer Based On The Dynamics And The Forecast Of Tourist Movement," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(2), pages 127-136, December.
    3. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    4. Li, Yuan & Xiao, Longzhu & Ye, Yu & Xu, Wangtu & Law, Andrew, 2016. "Understanding tourist space at a historic site through space syntax analysis: The case of Gulangyu, China," Tourism Management, Elsevier, vol. 52(C), pages 30-43.
    5. José Barrena Ruiz & Machiel Lamers & Simon Bush & Gustavo Blanco Wells, 2019. "Governing nature-based tourism mobility in National Park Torres del Paine, Chilean Southern Patagonia," Mobilities, Taylor & Francis Journals, vol. 14(6), pages 745-761, November.
    6. Radosław Klimek, 2019. "Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    7. York Qi Yan & Hanqin Qiu Zhang & Ben Haobin Ye, 2014. "Assessing the Impacts of the High-Speed Train on Tourism Demand in China," Tourism Economics, , vol. 20(1), pages 157-169, February.
    8. Parroco, Anna Maria & Vaccina, Franco & De Cantis, Stefano & Ferrante, Mauro, 2012. "Multi-destination trips and tourism statistics: Empirical evidences in Sicily," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-27.
    9. Zhang, Yingsha & Li, Xiang (Robert) & Su, Qin, 2017. "Does spatial layout matter to theme park tourism carrying capacity?," Tourism Management, Elsevier, vol. 61(C), pages 82-95.
    10. 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.
    11. Souza Monteiro, Diogo M. & Caswell, Julie A., 2009. "Traceability adoption at the farm level: An empirical analysis of the Portuguese pear industry," Food Policy, Elsevier, vol. 34(1), pages 94-101, February.
    12. Versichele, Mathias & de Groote, Liesbeth & Claeys Bouuaert, Manuel & Neutens, Tijs & Moerman, Ingrid & Van de Weghe, Nico, 2014. "Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium," Tourism Management, Elsevier, vol. 44(C), pages 67-81.
    13. Egbert Van der Zee & Dario Bertocchi, 2018. "Finding patterns in urban tourist behaviour: a social network analysis approach based on TripAdvisor reviews," Information Technology & Tourism, Springer, vol. 20(1), pages 153-180, December.
    14. Xia, Jianhong (Cecilia) & Evans, Fiona H. & Spilsbury, Katrina & Ciesielski, Vic & Arrowsmith, Colin & Wright, Graeme, 2010. "Market segments based on the dominant movement patterns of tourists," Tourism Management, Elsevier, vol. 31(4), pages 464-469.
    15. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    16. Gabriel Brătucu & Codruța Adina Băltescu & Nicoleta Andreea Neacșu & Dana Boșcor & Ovidiu Mircea Țierean & Anca Madar, 2017. "Approaching the Sustainable Development Practices in Mountain Tourism in the Romanian Carpathians," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    17. Orellana, Daniel & Bregt, Arnold K. & Ligtenberg, Arend & Wachowicz, Monica, 2012. "Exploring visitor movement patterns in natural recreational areas," Tourism Management, Elsevier, vol. 33(3), pages 672-682.
    18. Lorenzo Masiero & Judit Zoltan, 2012. "Tourists intra-destination visits and transportation mode : a bivariate model," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1205, USI Università della Svizzera italiana.
    19. Ivan Paunović & Verka Jovanović, 2017. "Implementation of Sustainable Tourism in the German Alps: A Case Study," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    20. Shao-jie Zhang & Peng-hui Lyu & Yan Yan, 2015. "Global geographical and scientometric analysis of tourism-themed research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 385-401, October.
    21. 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.
    22. E.C.M. Noyons & H.F. Moed & M. Luwel, 1999. "Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 115-131.
    23. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    24. Xia, Jianhong (Cecilia) & Zeephongsekul, Panlop & Arrowsmith, Colin, 2009. "Modelling spatio-temporal movement of tourists using finite Markov chains," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1544-1553.
    25. David Silva-Pedroza & Ricardo Marin-Calero & Gustavo Ramirez-Gonzalez, 2017. "NFC Evaluation in the Development of Mobile Applications for MICE in Tourism," Sustainability, MDPI, vol. 9(11), pages 1-20, October.
    26. Christian Eckert & Harald Pechlaner, 2019. "Alternative Product Development as Strategy Towards Sustainability in Tourism: The Case of Lanzarote," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    27. Ibon Aranburu & Beatriz Plaza & Marisol Esteban, 2016. "Sustainable Cultural Tourism in Urban Destinations: Does Space Matter?," Sustainability, MDPI, vol. 8(8), pages 1-14, July.
    28. Eujin-Julia Kim & Yongjun Jo & Youngeun Kang, 2018. "Are Touristic Attractions Well-Connected in an Olympic Host City? A Network Analysis Measurement of Visitor Movement Patterns in Gangneung, South Korea," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    29. Bianchi, Raoul V. & Stephenson, Marcus L., 2013. "Deciphering tourism and citizenship in a globalized world," Tourism Management, Elsevier, vol. 39(C), pages 10-20.
    30. McKercher, Bob & Wong, Celia & Lau, Gigi, 2006. "How tourists consume a destination," Journal of Business Research, Elsevier, vol. 59(5), pages 647-652, May.
    31. Qian Jin & Hui Hu & Philip Kavan, 2016. "Factors Influencing Perceived Crowding of Tourists and Sustainable Tourism Destination Management," Sustainability, MDPI, vol. 8(10), pages 1-17, September.
    32. Smallwood, Claire B. & Beckley, Lynnath E. & Moore, Susan A., 2012. "An analysis of visitor movement patterns using travel networks in a large marine park, north-western Australia," Tourism Management, Elsevier, vol. 33(3), pages 517-528.
    33. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    34. Wolf, Isabelle D. & Hagenloh, Gerald & Croft, David B., 2012. "Visitor monitoring along roads and hiking trails: How to determine usage levels in tourist sites," Tourism Management, Elsevier, vol. 33(1), pages 16-28.
    35. O’Connor, A. & Zerger, A. & Itami, B., 2005. "Geo-temporal tracking and analysis of tourist movement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 135-150.
    36. Chua, Alvin & Servillo, Loris & Marcheggiani, Ernesto & Moere, Andrew Vande, 2016. "Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy," Tourism Management, Elsevier, vol. 57(C), pages 295-310.
    37. Mahsa Mansouri & Norsidah Ujang, 2017. "Space syntax analysis of tourists’ movement patterns in the historical district of Kuala Lumpur, Malaysia," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 10(2), pages 163-180, April.
    38. Noam Shoval & Bob McKercher & Amit Birenboim & Erica Ng, 2015. "The Application of a Sequence Alignment Method to the Creation of Typologies of Tourist Activity in Time and Space," Environment and Planning B, , vol. 42(1), pages 76-94, February.
    39. Ljubica Knezevic Cvelbar & Mojca Mayr & Damjan Vavpotic, 2018. "Geographical mapping of visitor flow in tourism," Tourism Economics, , vol. 24(6), pages 701-719, September.
    40. 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.
    41. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    42. Bartosz Hawelka & Izabela Sitko & Pavlos Kazakopoulos & Euro Beinat, 2017. "Collective Prediction of Individual Mobility Traces for Users with Short Data History," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    43. Xia, Jianhong (Cecilia) & Zeephongsekul, Panlop & Packer, David, 2011. "Spatial and temporal modelling of tourist movements using Semi-Markov processes," Tourism Management, Elsevier, vol. 32(4), pages 844-851.
    44. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
    45. 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.
    46. De Cantis, Stefano & Ferrante, Mauro & Kahani, Alon & Shoval, Noam, 2016. "Cruise passengers' behavior at the destination: Investigation using GPS technology," Tourism Management, Elsevier, vol. 52(C), pages 133-150.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    2. Fan Li & Hao Zhou & De-Sheng Huang & Peng Guan, 2020. "Global Research Output and Theme Trends on Climate Change and Infectious Diseases: A Restrospective Bibliometric and Co-Word Biclustering Investigation of Papers Indexed in PubMed (1999–2018)," IJERPH, MDPI, vol. 17(14), pages 1-14, July.
    3. McKercher, Bob & Filep, Sebastian & Moyle, Brent, 2021. "Movement in tourism: Time to re-integrate the tourist?," Annals of Tourism Research, Elsevier, vol. 91(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    2. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    3. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    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. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    6. Eujin-Julia Kim & Youngeun Kang, 2020. "Spillover Effects of Mega-Events: The Influences of Residence, Transportation Mode, and Staying Period on Attraction Networks during Olympic Games," Sustainability, MDPI, vol. 12(3), pages 1-13, February.
    7. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    8. Pan Zhang & Yongjun Du & Sijie Han & Qingan Qiu, 2022. "Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace," Energies, MDPI, vol. 15(15), pages 1-27, July.
    9. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    10. Jing Qin & Ci Song & Mingdi Tang & Youyin Zhang & Jinwei Wang, 2019. "Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    11. Kádár, Bálint & Gede, Mátyás, 2021. "Tourism flows in large-scale destination systems," Annals of Tourism Research, Elsevier, vol. 87(C).
    12. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    13. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2022. "Green energy adoption and its determinants: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    14. Peixue Liu & Xiao Xiao & Jie Zhang & Ronghua Wu & Honglei Zhang, 2018. "Spatial Configuration and Online Attention: A Space Syntax Perspective," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    15. Koun Sugimoto & Kei Ota & Shohei Suzuki, 2019. "Visitor Mobility and Spatial Structure in a Local Urban Tourism Destination: GPS Tracking and Network analysis," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    16. Matilde Lafuente-Lechuga & Javier Cifuentes-Faura & Ursula Faura-Martínez, 2021. "Sustainability, Big Data and Mathematical Techniques: A Bibliometric Review," Mathematics, MDPI, vol. 9(20), pages 1-21, October.
    17. Eujin-Julia Kim & Yongjun Jo & Youngeun Kang, 2018. "Are Touristic Attractions Well-Connected in an Olympic Host City? A Network Analysis Measurement of Visitor Movement Patterns in Gangneung, South Korea," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    18. Moaaz Kabil & Setiawan Priatmoko & Róbert Magda & Lóránt Dénes Dávid, 2021. "Blue Economy and Coastal Tourism: A Comprehensive Visualization Bibliometric Analysis," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    19. Kun Shi & Yi Zhou & Zhen Zhang, 2021. "Mapping the Research Trends of Household Waste Recycling: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    20. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4738-:d:262428. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.