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Cloud Services Aided e-Tourism: In the Case of Low-Cost Airlines for Backpacking

  • Qingguo Zhou
  • Jason C. Hung
  • Jun Hu
  • Huaming Chen
  • Rui Zhou
  • Ji Qi
  • Lei Yang
  • Xuan Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 301)

Abstract

The emergence of Cloud Services and Mobile Internet has influenced the society a lot, including the tourism industry. This paper proposes a design of backpacking service, not only aiming at the travelling routines, but also focusing on the low-cost airlines. This kind of service aids backpackers with an effective travelling and satisfies the price requirement. With this low-cost airline system, the backpackers can experience real e-Tourism and enjoy a better travel aided by the web information. According to the basic principles of low-cost airlines, this paper provides the backpackers with a definitely efficient way to check out a suitable flight itinerary under an acceptable price.

Keywords

e-Tourism Backpacking Cloud services Mobile internet 

Notes

Acknowledgments

We would like to thank the anonymous reviewers for their constructive comments. This work is supported in part by National Natural Science Foundation of China under Grant No. 60973137, Program for New Century Excellent Talents in University under Grant No. NCET-12-0250, Gansu Sci.&Tech. Program under Grant No. 1104GKCA049, 1204GKCA061 and 1212RJYA003, Strategic Priority Research Program of the Chinese Academy of Sciences with Grant No. XDA03030100, The Fundamental Research Funds for the Central Universities under Grant No. lzujbky-2013-k05, lzujbky-2013-43, lzujbky-2013-44 and lzujbky-2012-44, Google Research Awards, and Google Faculty Award.

References

  1. 1.
    Zhou F, Fang Y, Chen H (2012) Personalized travel service discovery and usage in cloud environment. In: IEEE ninth international conference on e-Business engineering (ICEBE), 2012. IEEE, pp 333–337 Google Scholar
  2. 2.
    Buhalis D, O’Connor P (2005) Information communication technology revolutionizing tourism. Tourism Recreation Res 30(3):7–16Google Scholar
  3. 3.
    Paris CM (2009) The virtualization of backpacker culture. In: Proceedings of information and communication technologies in tourism, Amsterdam, Jan 2009, pp 25–35Google Scholar
  4. 4.
    Mason KJ (2000) The propensity of business travelers to use low cost airlines. J Transp Geogr 8(2):107–119CrossRefGoogle Scholar
  5. 5.
    Knorr A (2007) Southwest airlines: the low cost pioneer at 35. In: Handbook of low cost airlines: strategies, business processes and market environment. Erich Schmidt Verlag, Berlin, pp 77–109Google Scholar
  6. 6.
    Evangelho F, Huse C, Linhares A (2005) Market entry of a low cost airline and impacts on the Brazilian business travelers. J Air Transp Manage 11(2):99–105CrossRefGoogle Scholar
  7. 7.
    Piga CA, Filippi N, Bachis E (2002) Booking and flying with low cost airlines. Int J Tourism Res 4(3):237–249CrossRefGoogle Scholar
  8. 8.
    Hansmann U, Merk L, Nicklous MS, Stober T (2003) Pervasive computing: the mobile world. Springer, Berlin, pp 11–24Google Scholar
  9. 9.
    Bask J (2001) Pervasive computing: travel and business services, www.tml.tkk.fi/Studies/Tik-111.590/2001s/papers/joni_bask.pdf. Retrieved on 06 Aug 2013
  10. 10.
    Hung JC (2012) The smart–travel system: utilising cloud services to aid traveller with personalised requirement. Int J Web Grid Serv 8(3):279–303CrossRefGoogle Scholar
  11. 11.
    Luo F, Li J (2009) Backpacker internet information search behavior: a case study of university students in China. In: 2009 International conference on information management, innovation management and industrial engineering, IEEE, vol 3, pp 547–550Google Scholar
  12. 12.
    Chen CH, Wu TL, Lee MT, et al (2012) A love of travel—demonstration project of Sun-Moon Lake importing ITS/telematics. In: 12th International conference on ITS telecommunications (ITST), IEEE, pp 129–134Google Scholar
  13. 13.
    Dijkstra’s algorithm reference webpage address: http://en.wikipedia.org/wiki/Dijkstra’s_algorithm
  14. 14.
    Cormen TH, Leiserson CE, Rivest RL, Stein C (2009) Introduction to algorithms, 3rd edn. The MIT press, CambridgeGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Qingguo Zhou
    • 1
  • Jason C. Hung
    • 2
  • Jun Hu
    • 1
  • Huaming Chen
    • 1
  • Rui Zhou
    • 1
  • Ji Qi
    • 3
  • Lei Yang
    • 3
  • Xuan Wang
    • 4
  1. 1.School of Information Science and EngineeringLanzhou UniversityLanzhouChina
  2. 2.Department of Information ManagementOverseas Chinese UniversityTaichungTaiwan
  3. 3.ADS Spallation Target LaboratoryInstitute of Modern Physics, Chinese Academy of ScienceBeijingChina
  4. 4.School of ScienceLanzhou University of TechnologyLanzhouChina

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