摘要
科学认识景区游客旅游消费的影响因素是优化景区市场供给、推进旅游消费转型升级的必然要求。文中从时空视角构建景区游客旅游消费影响因素模型,将游客空间移动GPS数据与问卷调研数据相匹配,聚类分析获得5类时空行为模式。在此基础上,运用分位数回归方法探讨时空行为模式及其他因素对景区游客旅游消费的复杂性影响。研究发现:1)台儿庄古城游客路径呈全天环游型、夜景直线型、半天复杂型、两天覆盖型与半天环游型5类时空行为模式,且游客更倾向聚集于通达性高的主动线进行短时夜景直线型游览。2)景区游客时空行为模式对旅游消费影响显著,以夜景直线型为基线,访问多条街道并在景区停留更长时间的全天环游型与两天覆盖型游客随着旅游消费水平的上升相关系数变大,延长游客在景区的停留时间并引导其访问更多的空间有利于提高旅游消费水平。
Scientific understanding of factors that influence the tourist consumption in scenic spots is an inevitable requirement to optimize the market supply of scenic spots and promote the transformation and upgrading of tourism consumption. In this paper, the influencing factor model of scenic spot tourists′ tourism consumption was constructed from the perspective of time and space, the tourists′ spatial mobile GPS data was matched with the questionnaire survey data, and five kinds of spatial-temporal behavior patterns were obtained by cluster analysis. On this basis, the quantile regression method was used to explore the complex impact of spatial-temporal behavior patterns and other factors on tourist consumption in scenic spots. The results show that: 1) The tourist path of Taierzhuang Ancient Town scenic spot shows five spatial-temporal behavior patterns: full-day tour, night scene straight line, half day complex, two-day coverage and half day tour, and tourists tend to gather on the active line with high accessibility for short-term night scene straight line. 2) The spatial-temporal behavior patterns of tourists in the scenic spot has a significant impact on tourism consumption. Taking the night scene straight line as the baseline, the coefficient between the full-day tour and two-day coverage, which include multiple streets visit and longer stay and the level of tourism consumption, increases with the tourism consumption level. Prolonging the stay time of tourists in the scenic spot and guiding them to visit more space are conducive to improving the level of tourism consumption.
作者
文娜娟
孙凤芝
贾衍菊
WEN Najuan;SUN Fengzhi;JIA Yanju(School of Business,Shandong Normal University,Jinan 250014,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2022年第2期171-177,共7页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(72102131)
山东省自然科学基金面上项目(ZR2019MG038)资助。
关键词
旅游消费
影响因素
时空行为模式
分位数回归
tourism consumption
influencing factors
spatial-temporal behavior patterns
quantile regression
