基于生存分析模型的游客停留天数影响因素分析——以大连滨海旅游为例
发布时间：2019-08-04 12:26
【摘要】：游客的停留天数是影响旅游经济发展的一个重要因素。但是,由于停留天数变量特有的统计属性和复杂性,如数据删失和非负性,使得经济研究领域很少有学者系统地的研究这一问题。本文通过使用计量经济学的参数化生存分析模型分析游客停留天数的决定因素,这对旅游需求研究是一个很好的创新。在研究过程中,为了揭示影响游客停留天数的主要因素,本文考虑了多个关于游客的社会-人口统计特征等变量。结果显示,重复旅行的游客和距离较远的游客会停留较长的天数。因此,未来研究需要进一步分析具有这些特征的游客群体以及他们的经济状况和旅游活动特征等情况。游客的收入水平和年龄也对停留天数具有显著的影响。此外,游客受教育程度越高,停留天数越少。最后,本文分别分析了这些结果对旅游管理决策的含义。
[Abstract]:The number of stay days of tourists is an important factor affecting the development of tourism economy. However, due to the unique statistical attributes and complexity of the number of stay variables, such as data deletion and non-negativity, few scholars in the field of economic research have systematically studied this problem. In this paper, the parametric survival analysis model of econometrics is used to analyze the decisive factors of tourists' stay days, which is a good innovation for the study of tourism demand. In the course of the study, in order to reveal the main factors that affect the number of stay days of tourists, this paper considers a number of variables such as the socio-demographic characteristics of tourists. The results show that repeat tourists and distant tourists stay for longer days. Therefore, future research needs to further analyze the tourist groups with these characteristics, their economic situation and the characteristics of tourism activities. The income level and age of tourists also have a significant impact on the number of stay days. In addition, the higher the level of education, the fewer days of stay. Finally, this paper analyzes the meaning of these results to tourism management decisions.
【作者单位】： 大连理工大学工商管理学院;塔尔顿州立大学计算机科学与数学系;
【基金】：教育部博士点科研基金项目(20110041110026)
【分类号】：F590
[Abstract]:The number of stay days of tourists is an important factor affecting the development of tourism economy. However, due to the unique statistical attributes and complexity of the number of stay variables, such as data deletion and non-negativity, few scholars in the field of economic research have systematically studied this problem. In this paper, the parametric survival analysis model of econometrics is used to analyze the decisive factors of tourists' stay days, which is a good innovation for the study of tourism demand. In the course of the study, in order to reveal the main factors that affect the number of stay days of tourists, this paper considers a number of variables such as the socio-demographic characteristics of tourists. The results show that repeat tourists and distant tourists stay for longer days. Therefore, future research needs to further analyze the tourist groups with these characteristics, their economic situation and the characteristics of tourism activities. The income level and age of tourists also have a significant impact on the number of stay days. In addition, the higher the level of education, the fewer days of stay. Finally, this paper analyzes the meaning of these results to tourism management decisions.
【作者单位】： 大连理工大学工商管理学院;塔尔顿州立大学计算机科学与数学系;
【基金】：教育部博士点科研基金项目(20110041110026)
【分类号】：F590
【共引文献】
相关期刊论文 前8条
1 李s，
本文编号：2522936
本文链接：https://www.wllwen.com/guanlilunwen/lvyoujiudianguanlilunwen/2522936.html
