Evaluating passive mobile positioning data for tourism surveys:: An Estonian case study
Evaluating passive mobile positioning data for tourism surveys:: An Estonian case study
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DOI：
10.1016/j.tourman.2007.05.014
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发表时间：
2008-06-01
影响因子：
12.7
通讯作者：
Silm, Siiri
中科院分区：
文献类型：
--
作者：
Ahas, Rein;Aasa, Anto;Silm, Siiri
本文介绍了被动移动定位数据在旅游研究中的适用性。被动移动定位数据自动存储在移动运营商的内存文件中，用于网络中的呼叫活动或手机移动。对于旅游研究，我们使用网络单元漫游（国外电话）呼叫活动的位置数据库：被呼叫电话的位置，时间，随机ID和原产国。我们用爱沙尼亚的例子描述了数据的特点、数据收集、抽样、空间数据库的处理和一些分析方法。结果表明，移动定位数据在地理研究中具有重要的应用价值。在爱沙尼亚最常访问的旅游区，与传统住宿统计数据的相关性高达0.99。在过境游客较多、旅游基础设施较少的地区，定位数据与住宿统计的相关性较低。结果表明，定位数据具有以下优势：可以在更大的空间单元和较少的人流量区域采集数据；与常规旅游统计相比，其时空准确性更高。随机id允许人们研究游客的活动，例如研究特定国籍游客的典型路线。数据的弱点与访问数据的问题有关，因为运营商不希望共享数据，并且出于隐私和监视方面的考虑。问题还在于，定位数据是另一个特征有限的定量数据集。(c) 2007 Elsevier Ltd.版权所有。
This paper introduces the applicability of passive mobile positioning data in studying tourism. Passive mobile positioning data is automatically stored in the memory files of mobile operators for call activities or movements of handsets in the network. For tourism studies we use database of the locations of roaming (foreign phones) call activities in network cells: the location, time, random ID and country of origin of the called phone. We describe the peculiarities of data, data gathering, sampling, the handling of the spatial database and some analysis methods, using examples from Estonia. The results proved that mobile positioning data has valuable applications for geographical studies. Correlations with conventional accommodation statistics in Estonia were up to 0.99 in the most commonly visited tourist regions. Correlations of positioning data with accommodation statistics were lower in regions with a high number of transit tourists and less tourism infrastructure. The results show that positioning data has advantages: data can be collected for larger spatial units and in less visited areas; spatial and temporal preciseness is higher than for regular tourism statistics. Random IDs allow one to study tourists' movements, for example to study typical routes of tourists of certain nationalities. The weaknesses of data are related to problems with accessing data, as operators do not wish to share data and because of privacy and surveillance concerns. Problem is also that positioning data is another quantitative dataset with limited features. (c) 2007 Elsevier Ltd. All rights reserved.