Modeling Movement of Tourists: Tools and Application in São Miguel Island, Portugal

Authors

  • Armindo Frias
  • Joao Manuel Cabral Azores University
  • Álvaro Costa

Keywords:

logistics, mathematical modelation, networks, regional development, tourism

Abstract

Tourism contributes to the development of many regions. Different factors affect the movement of tourists within a destination. Those factors are related to the tourist characteristics, like the time budgets, preferences or destination knowledge, and to the destination features, like the attraction characteristics or accessibility level. Tourist decisions aren’t always done in a rational way. Emotions add further complexity to the human decision process. The use of footpaths can play an important role in the satisfaction of tourists, helping them discover the territory and giving them access to different types of attractions.

The existence of a mathematical model that integrates the main factors related to the movement of independent tourists within a destination, in a dynamic way, will make possible the creation of an adaptable software tool. This tool will meet the specific needs of tourists, allowing the use of the network in an optimal way by the different tourist profiles, and the needs of the regional government and business, permitting better decisions and the offer of relevant tourism products.

This article identifies the main tourists’ mobility criteria in the São Miguel island territory, Azores, Portugal, recognizes the necessary modelling process and identifies the basis for the construction of the mathematical model that explains the movement of tourists within the destination.

 

 

Author Biography

Joao Manuel Cabral, Azores University

Assistant Teacher

Maths Department

References

• Baldacchino, G. (2008). Trains of Thought: Railways as Island Anthitheses. Shima: The International Journal of Research into Island Cultures, 2 (1), pp.29-40.

• Bansal, H., & Eiselt, H. (2004). Exploratory researchof tourist motivations and planning. Tourism Management, 25 (3), 387–396.

• Braga, T. (2006). Pedestrianismo e Percursos Pedestres: manual de formação (1 ed.). Pico da Pedra, Açores, Portugal: Amigos dos Açores.

• Briguglio, L. (1995). Small island developing states and their economic vulnerabilities. World Development, 23 (9), 1615-1632.

• Chiang, A. C., & Wainwright, K. (2005). Matemática para economistas (4ª ed.). (A. S. Marques, Trans.) Rio de Janeiro: Elsevier Editora Ltda.

• Correia, A., Valle, P. O., & Moço, C. (2005). Modelling motivations and perceptions of Portuguese tourists. Retrieved February 26, 2015,

• Costa, L. d., & Baggio, R. (2009). The web of connections between tourism companies: Structure and dynamics. Physica A: Statistical Mechanics and its Applications, 388 (19), 4286-4296.

• Debbage, K. G. (1991). Spatial behavior in a bahamian resort. Annals of Tourism Research, 18 (2), 251-268.

• Deng, J., King, B., & Bauer, T. (2002). Evaluating natural attractions for tourism. Annals of Tourism Research, 29 (2), 422-438.

• Deschenes, P. J., & Chertow, M. (2004). An island approach to industrial ecology: towards sustainability in the island context. Journal of Environmental Planning and Management, 47 (2), 201-217.

• Dredge, D. (2006). Policy networks and the local organisation of tourism. Tourism Management, 27 (2), 269-280.

• Filieri, R., & McLeay, F. (2014). E-WOM and accommodation an analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, 53 (1), 44-57.

• Frias, A., & Cabral, J. (2013). Facility Localization: Strategic Decision on Insular Territory. Asia Online Journals: Asian Journal of Business and Management, 1, nº.5 (1), 217-225.

• Frias, A., Cabral, J., & Costa, Ã. (2014). Otimização do uso dos trilhos pedestres em São Miguel e sua modelação matemática. In Proceedings of the 21º Workshop da APDR - Estratégias, Infra-estruturas e Redes Empreendedoras para o Desenvolvimento Regional (pp. 54-68). Angra do Heroísmo: Associação Portuguesa para o Desenvolvimento Regional.

• Howley, P., Doherty, E., Buckley, C., Hynes, S., Rensburg, T. v., & Green, S. (2012). Exploring preferences towards the provision of farmland walking trails: A supply and demand perspective. 29 (1), 111-118.

• Kaewsuwan, S. (2002). Importance of Models in Economics. Retrieved November 3, 2014, from http://www.gaoshan.de/university/tp/Importance_of_Models_in_Economics.pdf

• Khadaroo, J., & Seetanah, B. (2007). Transport infrastructure and tourism development. Annals of Tourism Research, 34 (4), 1021-1032.

• Kitazawa, K., & Batty, M. (2004). Pedestrian Behaviour Modelling: An application to retail movements using a genetic algorithm. In J. Van Leeuwen, & H. Timmermans (Eds.), Developments in Design & Decision Support Systems in Architecture and Urban Planning (pp. 111-126). Eindhoven: Eindhoven University of Technology.

• Lau, G., & McKercher, B. (2007). Understanding tourist movement patterns in a destination: A GIS approach. Tourism and Hospitality Research, 7 (1), 39-49.

• Lew, A., & McKercher, B. (2006). Modeling Tourist Movements: A Local Destination Analysis. Annals of Tourism Research, 33 (3), 403-423.

• Lue, C.-C., Crompton, J. L., & Stewart, W. P. (1996). Evidence of Cumulative Attraction in Multidestination Recreational Trip Decisions. Journal of Travel Research, 34, 41-49.

• Masiero, L., & Zoltan, J. (2013). Tourists intra-destination visits and transport mode: a bivariate probit model. Annals of Tourism Research, 43, 529-546.

• Mckercher, B., & Lau, G. (2008). Movement Patterns of Tourists within a Destination. Tourism Geographies: An International Journal of Tourism Space, Place and Environment, 10 (3), 355-374.

• Midmore, P. (2000). The Economic Value of Walking in Rural Wales. University of Wales. Wrexham, Wales: Ramblers’ Association in Wales and Welsh Institute of Rural Studies.

• Mooney, D. D., & Swift, R. J. (1999). A course in mathematical Modeling. United States of America: The Mathematical Association of America.

• RAA. (2009). Estudo sobre os Turistas que visitam os Açores. 2005 – 2006. Angra do Heroísmo: Serviço Regional de Estatística dos Açores (SREA).

• Samuelson, P. A., & Nordhaus, W. D. (2005). Economia (18 ed.). (E. fontaínha, & J. P. Gomes, Trans.) Aravaca: McGraw-Hill Interamericana de España, S.A.U.

• Schubert, S. F., Brida, J. G., & Risso, W. A. (2011). The impacts of international tourism demand on economic growth of small economies dependent on tourism. Tourism Management, 32, 377-385.

• UNWTO. (2015). UNWTO: Tourism Highlights, 2015 Edition. United Nations, World Tourism Organization. UNWTO.

• Zoltan, J., & McKercher, B. (2015). Analysing intra-destination movements and activity participation of tourists through destination card consumption. Tourism Geographies: An International Journal of Tourism Space, Place and Environment, 17 (1), 19-35.

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Published

2015-12-14

How to Cite

Frias, A., Cabral, J. M., & Costa, Álvaro. (2015). Modeling Movement of Tourists: Tools and Application in São Miguel Island, Portugal. Asian Journal of Business and Management, 3(6). Retrieved from https://www.ajouronline.com/index.php/AJBM/article/view/3309