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Ordinal Regression Models to Describe Tourist Satisfaction with Sintra's World Heritage

机译:序数回归模型描述辛特拉世界遗产的旅游满意度

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In Tourism Research, ordinal regression models are becoming a very powerful tool in modelling the relationship between an ordinal response variable and a set of explanatory variables. In August and September 2010, we conducted a pioneering Tourist Survey in Sintra, Portugal. The data were obtained by face-to-face interviews at the entrances of the Palaces and Parks of Sintra. The work developed in this paper focus on two main points: tourists' perception of the entrance fees; overall level of satisfaction with this heritage site. For attaining these goals, ordinal regression models were developed. We concluded that tourist's nationality was the only significant variable to describe the perception of the admission fees. Also, Sintra's image among tourists depends not only on their nationality, but also on previous knowledge about Sintra's World Heritage status.
机译:在旅游研究中,序数回归模型正在成为建模序数响应变量和一组解释变量之间的关系的非常强大的工具。 2010年8月和9月,我们在葡萄牙辛特拉进行了开创性的旅游调查。这些数据是通过在宫殿和辛特拉宫的入口处的面对面访谈获得的。本文开发的工作侧重于两个要点:游客对入学费的看法;这一遗产地的总体满意度。为了实现这些目标,开发了序数回归模型。我们得出结论,旅游国籍是描述录取费用的看法的唯一重要变量。此外,辛特拉在游客中的形象不仅取决于他们的国籍,还取决于以前关于辛特拉世界遗产地位的知识。

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