| 000 | 03648nlm1a2200445 4500 | ||
|---|---|---|---|
| 001 | 664514 | ||
| 005 | 20231030041932.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\35698 | ||
| 035 | _aRU\TPU\network\35689 | ||
| 090 | _a664514 | ||
| 100 | _a20210416a2018 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aThe mobility network of European tourists: a longitudinal study and a comparison with geo-located Twitter data _fD. Provenzano, B. Hawelka, R. Baggio |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 330 | _aThis paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012. Travels in Europe were studied by following the network science research paradigm and by focusing on the whole network of intra-European tourism destinations. Network analysis was used to map and reveal the pattern of connections between states as shaped by bilateral tourism flows. Data were provided by the United Nations World Tourism Organization, and the data were integrated with tourism data available from national statistical offices of the individual countries, when necessary. For 2012, results obtained from the UNWTO record-based network were compared to geo-located Twitter data as a proxy of human mobility patterns. The present analysis provides evidence of a shift towards an increased homogeneity in the travelling preferences of European tourists, an acquired attitude of visitors to travel shorter distances and a tendency of mobility patterns to merge. Finally, the comparison between UNWTO and Twitter data shows a different spatial distribution of visitors. These results provide a useful insight for policymakers involved in tourism planning. The contribution of this study is threefold. First, to the best of the authors' knowledge, this is the only study that focuses on the bilateral tourism flows between all countries falling, geographically or politically, under the definition of Europe. Second, evidence is provided of a shift towards a greater homogeneity in the travelling preferences of European tourists. Lastly, for the first time, this study provides a comparison between topological structure and bilateral mobility patterns of tourism flows, based on two different data-recording methods. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tTourism Review | ||
| 463 |
_tVol. 73, iss.1 _v[P. 28-43] _d2018 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _anetworks | |
| 610 | 1 | _aevropian tourists | |
| 610 | 1 | _ageo-located Twitter data | |
| 610 | 1 | _amobility patterns | |
| 610 | 1 | _aUNWTO | |
| 610 | 1 | _aмобильность | |
| 610 | 1 | _aгеолокация | |
| 610 | 1 | _aпутешествия | |
| 610 | 1 | _aтуристы | |
| 700 | 1 |
_aProvenzano _bD. _gDavide |
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| 701 | 1 |
_aHawelka _bB. _gBartosz |
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| 701 | 1 |
_aBaggio _bR. _cItalian expert, philosopher _cProfessor of Tomsk Polytechnic University, candidate of philosophical Sciences _f1951- _gRodolfo _2stltpush _3(RuTPU)RU\TPU\pers\39762 |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bШкола базовой инженерной подготовки _bОтделение социально-гуманитарных наук _h8033 _2stltpush _3(RuTPU)RU\TPU\col\23512 |
| 801 | 2 |
_aRU _b63413507 _c20210416 _gRCR |
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| 856 | 4 | _uhttps://doi.org/10.1108/TR-03-2017-0052 | |
| 942 | _cCF | ||