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Smart Ecotourism Planning in Chiang Mai using Traveling Salesman Problem

Published:22 May 2019Publication History

ABSTRACT

A well-planned vacation can bring every visitor not only higher enjoyment of his or her trip but allows to maximize efficiently spent time within the budget constraints. This research proposes the suggested routes for ecotourism destinations in Chiang Mai, Thailand by using the traveling salesman problem (TSP) method. Chiang Mai has been noticed as the destination of ecotourism because of a rich and beautiful natural resources. It is convenient for tourists to have a web-based platform providing all updated destinations and suggested plan about ecotourism. As a pilot study, the most popular ten ecotourism destinations were collected from the secondary data observation. The study is applied the advantages of TSP technique to the tourism context in order to create the optimal travel plans under the different time constrains. Then web-based programming show the created trip plan and travel itinerary available for all tourists to download.

References

  1. Neuhofer, B., Buhalis, D., & Ladkin, A. (2014). A typology of technology-enhanced tourism experiences. International Journal of Tourism Research, 16(4), 340--350.Google ScholarGoogle ScholarCross RefCross Ref
  2. Wang, D., Park, S., & Fesenmaier, D. R. (2012). The role of smartphones in mediating the touristic experience. Journal of Travel Research, 51(4), 371--387.Google ScholarGoogle ScholarCross RefCross Ref
  3. Law, R., Leung, R., & Buhalis, D. (2009). Information technology applications in hospitality and tourism: a review of publications from 2005 to 2007. Journal of travel & tourism marketing, 26(5--6), 599--623.Google ScholarGoogle ScholarCross RefCross Ref
  4. Buhalis, D., & O'Connor, P. (2005). Information communication technology revolutionizing tourism. Tourism Recreation Research, 30(3), 7--16.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hoffman, A.J. and Wolfe, P. (1985). "History" in The Traveling Salesman Problem, E.L. Lawler, J.K. Lenstra, A.H.G. Rinooy Kan, and D.B. Shmoys, eds., John Wiley, 1--16.Google ScholarGoogle Scholar
  6. Applegate, D., Bixby, R.E., Chvátal, V., and Cook, W. (2006). The Traveling Salesman Problem: A Computational Study, Princeton University Press, Princeton, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Cook, W. (2011). In Pursuit of the Salesman: Mathematics at the Limits of Computation, Princeton University Press, Princeton, USA.Google ScholarGoogle Scholar
  8. da Silva, A. A., Morabito, R., & Pureza, V. (2018). Optimization approaches to support the planning and analysis of travel itineraries. Expert Systems with Applications.Google ScholarGoogle Scholar
  9. Fatthi, W. N. A. W. A., Haris, M. H. M., & Kahtan, H. (2018). Application of Travelling Salesman Problem for Minimizing Travel Distance of a Two-Day Trip in Kuala Lumpur via Go KL City Bus. In International Conference on Intelligent Computing & Optimization. Springer, Cham, 277--284.Google ScholarGoogle Scholar
  10. Hashim, Z., & Ismail, W. R. (2017). Self-Drive Tourism Route in Terengganu: An Application of Goal Programming Model. Sains Humanika, 9(1--5).Google ScholarGoogle Scholar
  11. Barrena, E., Laporte, G., Ortega, F. A., & Pozo, M. A. (2016). Planning ecotourism routes in nature parks. In Trends in Differential Equations and Applications. Springer, Cham. 189--202.Google ScholarGoogle ScholarCross RefCross Ref
  12. TIES Press Release. (2015). "TIES Announces Ecotourism Principles Revision", available at: http://www.ecotourism.org/what-is-ecotourism/ (accessed 30 April 2019).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      ICEMC '19: Proceedings of the 2019 International Conference on E-business and Mobile Commerce
      May 2019
      90 pages
      ISBN:9781450371827
      DOI:10.1145/3332324

      Copyright © 2019 ACM

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      New York, NY, United States

      Publication History

      • Published: 22 May 2019

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