Using geoinformatics to assess tourist dispersal at the state level
Using geoinformatics to assess tourist dispersal at the state level
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DOI：
10.1016/j.annals.2020.102903
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发表时间：
2020-05-01
影响因子：
13.2
通讯作者：
Wells, Martha
中科院分区：
文献类型：
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作者：
Hardy, Anne;Birenboim, Amit;Wells, Martha
先进的跟踪技术有助于以高空间分辨率跟踪游客的移动，从而可以探索影响疏散的因素。然而，不同的分析指数对其产生的结果的影响程度仍然没有得到充分的研究。这项研究使用了一个高时空分辨率的数据集的位置跟踪信息，收集在塔斯马尼亚岛，澳大利亚，使用移动的手机研究应用程序。它比较了四种不同的分析指标来量化旅游分散时出现的结果。结果提高了理解的作用，分析指标在评估扩散，沿着的基本因素，影响游客的分散在国家规模发挥。
Advanced tracking technologies have facilitated the tracking of tourists' movement with high levels of spatial resolution, allowing for the exploration of factors that influence dispersal. However, the degree to which different analytical indices impact the results that they generate, remains under-researched. This study uses a high tempo-spatial resolution data set of location tracking information that was collected in the island state of Tasmania, Australia, using a mobile phone research application. It compares the results that emerge when four different analytical indicators are used to quantify tourist dispersal. The results improve understandings of the role that analytical indicators play in assessing dispersal, along with the underlying factors that influence tourists' dispersal at the state scale.