探索游客的偏好和愿意支付国家公园休改善的愿望,基于遗憾和实用性比较
Qin Gao1, Songsong Cui2, Pingping Shi3
1International Business College, Shandong Technology and Business University, Yantai, 264000, China. 37778774@qq.com.
Scientific reports
|September 14, 2024
概括
预期后悔显著影响了国家公园的旅游选择,62.5%的决定是由后悔驱动的. 了解遗憾有助于优化公园娱乐政策,以改善游客体验.
科学领域:
- 环境心理学环境心理学
- 娱乐管理 娱乐管理 娱乐管理
- 行为经济学是一种行为经济学.
背景情况:
- 离散选择实验对于了解游客偏好和愿意为国家公园改进付款的意愿是常见的.
- 传统的随机效益最大化 (RUM) 模型在解释复杂的个人选择行为方面存在局限性,因为它忽略了预期的后悔.
研究的目的:
- 调查预期后悔对旅游者关于国家公园休属性的选择的影响.
- 将随机遗憾最小化 (RRM) 模型的解释能力与RUM模型进行比较.
- 开发和分析一种混合实用 - 后悔模型,以了解旅游决策.
主要方法:
- 随机遗憾最小化 (RRM) 模型的介绍.
- 多项式逻辑和混合潜伏类模型的应用.
- 构建混合公用事业 - 后悔模型,分析国家公园属性的权衡 (植被,水的清晰度,垃圾,拥挤).
主要成果:
- 与RUM模型相比,RRM模型显示出优越的适合性和预测准确性.
- 遗憾被认为是旅游决策的重要因素,影响了62.5%的选择.
- 遗憾驱动的游客优先考虑改善植被覆盖面和水的清晰度,而公用事业驱动的游客则专注于减少垃圾和拥挤.
结论:
- 随机遗憾最小化 (RRM) 模型为分析旅游选择提供了一个比RUM模型更全面的框架.
- 将遗憾纳入选择模型显著提高了对国家公园环境中的游客行为的理解.
- 研究结果为制定国家公园有针对性的娱乐改善战略和政策提供了宝贵的见解.
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