Using a heuristic algorithm to design a personalized day tour route in a time-dependent stochastic environment
Using a heuristic algorithm to design a personalized day tour route in a time-dependent stochastic environment
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DOI：
10.1016/j.tourman.2018.03.012
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发表时间：
2018-10
影响因子：
12.7
通讯作者：
Z. Liao;Weimin Zheng
中科院分区：
文献类型：
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作者：
Z. Liao;Weimin Zheng
在后现代旅游时代，游客行为发生了实质性的变化，旅游市场由定制体验的需求主导。因此，个性化旅游线路的设计对提高游客的旅游体验和旅游景点的成功起着基础性的作用。提出了一种基于随机模拟的混合启发式算法(RS-H2 A)来设计时间依赖的随机环境下的个性化一日游路线。为了评估该算法的性能，我们在四川九寨流域进行了一个案例研究，中国。配对样本t检验的结果表明，该算法的性能明显优于现有方法。此外，与以前的方法相比，我们提出的方法能够为游客设计更现实和个性化的路线。我们设计了一个实验，进一步探索不确定的环境如何影响不同风险意识水平的游客。
A substantial transformation has occurred in tourist behavior in the postmodern tourism era, where the tourism market is dominated by the demand for tailored experiences. Therefore, the design of personalized tourist routes plays a fundamental role in improving tourists’ travel experiences and the success of tourist attractions. This study proposes a hybrid heuristic algorithm based on random simulation (RS-H2A) to design a personalized day tour route in a time-dependent stochastic environment. To evaluate the performance of this algorithm, we conducted a case study at Jiuzhai Valley in Sichuan, China. The results of paired sample t-tests indicated that the proposed algorithm performed significantly better than existing methods. Furthermore, our proposed approach had the ability to design more realistic and personalized routes for tourists than previous methods. We designed an experiment to further explore how uncertain environments affect tourists with different levels of risk awareness.