Abstract
This research studies the application of modern practices and technologies for the collection of a large volume and variety of data, in order to develop a research knowledge base for data mining and analysis in the tourism sector and especially on Cruise and Ship Lines Passengers. Emphasis was given to the application of appropriate methods of data analysis and processing, to produce tangible results for the benefit of sustainable tourism development. Current research focuses on structuring a data warehouse for the collected information in order to apply online analytical processing techniques on the stored data, as well as data mining and data visualization. A holistic approach is proposed, along with a new model for analyzing the impact of tourism activity in general—and cruises in particular—on local society. The results will be utilized as a strategic tool for decision-making by those involved in the tourism sector of cruise areas, with ways to maximize the benefits of tourism, such as increasing overnight stays and, more broadly, passenger consumption, and ways to reduce the environmental impact of visitors and passengers in the ecosystem of cruise areas.
References
Aggarwal, C. C. (2011). An introduction to social network data analytics. In: C. C. Aggarwal (ed.). Social network data analytics (pp. 1–15). Boston: Springer. ISBN 9781441984616.
View in Google Scholar
Apostolopoulos, Y., Leivadi, S., Yiannakis, A. (eds.). (2013). The sociology of tourism: Theoretical and empirical investigations. Vol. 1. London and New York: Routledge. ISBN 9780415271653.
View in Google Scholar
Cevher, V., Becker, S., Schmidt, M. (2014). Convex optimization for Big Data: Scalable, randomized, and parallel algorithms for Big Data analytics. IEEE Signal Processing Magazine, 31(5), 32–43.
View in Google Scholar
Chiappa, G. D., Baggio, R. (2015). Knowledge transfer in smart tourism destinations: Analyzing the effects of a network structure. Journal of Destination Marketing and Management, 4(3), 145–150.
View in Google Scholar
Costa, C., Santos, M. Y. (2017). Big Data: State-of-the-art concepts, techniques, technologies, modeling approaches and research challenges. IAENG International Journal of Computer Science, 44(3), 285–301.
View in Google Scholar
Cupul-Magaña, A. L., Rodríguez-Troncoso, A. P. (2017). Tourist carrying capacity at Islas Marietas National Park: An essential tool to protect the coral community. Applied Geography, 88, 15–23.
View in Google Scholar
Dodds, R. (2007). Sustainable tourism and policy implementation: Lessons from the case of Calviá, Spain. Current Issues in Tourism, 10(4), 296–322.
View in Google Scholar
Elastic. (2018). Open source search, analytics [online, accessed: 2018-01-05]. Retrieved from: http://elastic.co.
View in Google Scholar
Frechtling, D. C. (2010). The tourism satellite account: A Primer. Annals of Tourism Research, 37(1), 136–153.
View in Google Scholar
Fuchs, M., Höpken, W., Lexhagen, M. (2014). Big data analytics for knowledge generation in tourism destinations – A case from Sweden. Journal of Destination Marketing and Management, 3(4), 198–209.
View in Google Scholar
Graymore, M. L., Sipe, N. G., Rickson, R. E. (2010). Sustaining human carrying capacity: A tool for regional sustainability assessment. Ecological Economics, 69(3), 459–468.
View in Google Scholar
Gretzel, U., Werthner, H., Koo, C., Lamsfus, C. (2015). Conceptual foundations for understanding smart tourism ecosystems. Computers in Human Behavior, 50, 558–563.
View in Google Scholar
ΗSA. (2016). Data for Arrivals at Hotels at Piraeus Destination [online, accessed: 2018-01-05]. Piraeus: Hellenic Statistic Association. Retrieved from Internet: https://www.statistics.gr/el/statistics/-/publication/STO12/2016.
View in Google Scholar
Hu, H., Wen, Y., Chua, T.-S., Li, X. (2014). Toward scalable systems for Big Data analytics: A technology tutorial. IEEE Access, 2, 652–687.
View in Google Scholar
Hunter, C. (2002). Sustainable tourism and the touristic ecological footprint. Environment, Development and Sustainability, 4(1), 7–20.
View in Google Scholar
ISI − Integrated Spatial Investments. (2017). Integrated Urban Development Plan: Evaluation of the Integrated Spatial Investment Tool. Piraeus: Municipality of Piraeus.
View in Google Scholar
Jones, C., Munday, M. (2007). Exploring the environmental consequences of tourism: A satellite account approach. Journal of Travel Research, 46, 164–172.
View in Google Scholar
Kibana. (2018). Explore, visualize, discover data [online, accessed: 2018-01-05]. Mountain view: Elastic. Retrieved from: http://elastic.co/products/kibana.
View in Google Scholar
Koutsouris, A. (2009). Social learning and sustainable tourism development; local quality conventions in tourism: A Greek case study. Journal of Sustainable Tourism, 17(5), 567–581.
View in Google Scholar
Liu, H. (2012). Comprehensive carrying capacity of the urban agglomeration in the Yangtze River Delta, China. Habitat International, 36(4), 462–470.
View in Google Scholar
Lozano-Oyola, M., Blancas, F. J., González, M., Caballero, R. (2012). Sustainable tourism indicators as planning tools in cultural destinations. Ecological Indicators, 18, 659–675.
View in Google Scholar
Miah, S. J., Vu, H. Q., Gammack, J., McGrath, M. (2017). A Big Data analytics method for tourist behaviour analysis. Information and Management, 54, 771–785.
View in Google Scholar
Miller, G. (2001). The development of indicators for sustainable tourism: Results of a Delphi survey of tourism researchers. Tourism Management, 22(4), 351–362.
View in Google Scholar
Nakajima, E., Ortega, A. (2016). Carrying capacity using energy and a new calculation of the ecological footprint. Journal of Ecological Indicators, 60, 1200–1207.
View in Google Scholar
Olmeda, I., Sheldon, P. (2002). Data mining techniques and applications for tourism Internet marketing. Journal of Travel and Tourism Marketing, 11(2–3), 1–20.
View in Google Scholar
Papadopoulos, S. I. (1989). Strategy development and implementation of tourism marketing plans: Part 2. European Journal of Marketing, 23(3), 37–47.
View in Google Scholar
Papageorgiou, K., Brotherton, I. (1999). A management planning framework based on ecological, perceptual and economic carrying capacity: The case study of Vikos-Aoos National Park, Greece. Journal of Environmental Management, 56(4), 271–284.
View in Google Scholar
Ritchie, J. R. B., Crouch, G. I. (2000). Editorial: The competitive destination: A sustainability perspective. Tourism Management, 21(1), 1–7.
View in Google Scholar
Slavakis, K., Kim, S.-J., Mateos, G., Giannakis, G. B.(2014). Stochastic approximation vis-à-vis online learning for Big Data analytics. IEEE Signal Processing Magazine, 31(6), 124–129.
View in Google Scholar
Smeral, E. (2006). Tourism satellite accounts: A critical assessment. Journal of Travel Research, 45(1), 92–98.
View in Google Scholar
Spilanis, I., Vayanni, H. (2004). Sustainable tourism: Utopia or necessity? The role of new forms of tourism in the Aegean Islands. In: B. Bramwell (ed.). Coastal mass tourism: Diversification and sustainable development in southern Europe (pp. 269–291). Bristol: Channel View Publications. ISBN 9781873150689.
View in Google Scholar
Srinivasan, U., Arunasalam, B. (2013). Leveraging Big Data analytics to reduce healthcare costs. IT Professional, 15(6), 21–28.
View in Google Scholar
Tomigová, K., Mendes, J., Pereira, L. N. (2016). The attractiveness of Portugal as a tourist destination: The perspective of Czech tour operators. Journal of Travel and Tourism Marketing, 33(2), 197–210.
View in Google Scholar
Turner, R. K., Pearce, D., Bateman, I. (1994). Environmental economics: An elementary introduction. New York and London: Harvester Wheatsheaf. ISBN 0745010830.
View in Google Scholar
Wall-Reinius, S., Ioannides, D., Zampoukos, K. (2017). Does geography matter in all-inclusive resort tourism? An investigation of the marketing approach of major Scandinavian tour operators. Tourism Geographies, 1–19. DOI: 10.1080/14616688.2017.1375975
View in Google Scholar
Wong, S. W., Tang, B., van Horen, B. (2006). Strategic urban management in China: A case study of Guangzhou Development District. Habitat International, 30(3), 645–667.
View in Google Scholar
Xiang, Z., Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179–188.
View in Google Scholar
Zhao, S., Feng, K., Gui, S., Cai, H., Jin, W., Wu, C. (2013). The emergy ecological footprint for small fish farm in China. Ecological Indicators, 29, 62–67.
View in Google Scholar
Zheng, V. W., Zheng, Y., Xie, X., Yang, Q. (2010). Collaborative location and activity recommendations with GPS history data. In: Proceedings of the 19th International Conference on World Wide Web (pp. 1029–1038). New York: ACM. ISBN 9781605587998. DOI: 10.1145/1772690.1772795.
View in Google Scholar
© Copyright by Małopolska School of Economics in Tarnów. The articles are available under the Creative Commons Attribution NonCommercial-NoDerivatives 4.0 International License