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Tour Route Multiobjective Optimization Design Based on the Tourist Satisfaction

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  • Yan Han
  • Hongzhi Guan
  • Jiaying Duan

Abstract

The question prompted is how to design the tour route to make the tourists get the maximum satisfactions considering the tourists’ demand. The influence factors of the tour route choices of tourists were analyzed and tourists’ behavior characteristics and psychological preferences were regarded as the important influence factors based on the tourist behavioral theories. A questionnaire of tourists’ tour route information and satisfaction degree was carried out. Some information about the scene spot and tourists demand and tour behaviors characteristic such as visit frequency, number of attractions visited was obtained and analyzed. Based on the convey datum, tour routes multiobjective optimization functions were prompted for the tour route design regarding the maximum satisfaction and the minimum tour distance as the optimal objective. The available routes are listed and categorized. Based on the particle swarm optimization model, the priorities of the tour route are calculated and finally the suggestion depth tour route and quick route tour routes are given considering the different tour demands of tourists. The results can offer constructive suggestions on how to design tour routes on the part of tourism enterprises and how to choose a proper tour route on the part of tourists.

Suggested Citation

  • Yan Han & Hongzhi Guan & Jiaying Duan, 2014. "Tour Route Multiobjective Optimization Design Based on the Tourist Satisfaction," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-8, January.
    • Handle: RePEc:hin:jnddns:603494
    DOI: 10.1155/2014/603494
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    Cited by:

    1. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2019. "A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    2. Ruiz-Meza, José & Montoya-Torres, Jairo R., 2022. "A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Qian Pei & Li Wang & Peng Du & Zhaolan Wang, 2022. "Optimization of tourism routes in Lushunkou District based on ArcGIS," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-15, March.

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