Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs
With the further advent of the era of big data, the scale of social media data containing geolocation information is exploding, providing a new source of big data information and perspective for an in-depth study of the changing spatio-temporal and geographical characteristics of the current tourist...
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EDP Sciences
2021-01-01
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doaj-dd84475947534eeb8cf38991eee77d942021-05-04T12:18:26ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012510300910.1051/e3sconf/202125103009e3sconf_ictees2021_03009Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographsGao HuaJian0Mou NaiXia1College of Geomatics, Shandong University of Science and TechnologyCollege of Geomatics, Shandong University of Science and TechnologyWith the further advent of the era of big data, the scale of social media data containing geolocation information is exploding, providing a new source of big data information and perspective for an in-depth study of the changing spatio-temporal and geographical characteristics of the current tourist population. This paper extracts data on popular attractions in the Tibet Autonomous Region using the HDBSCAN algorithm combined with the TF-IDF algorithm based on information on images with geotags shared by users in the Flickr image sharing site from 2005-2018. Social network analysis was used to explore the changes in the spatial and temporal characteristics of inbound tourism flows in Tibet. The results show that: (1) in terms of temporal characteristics, the number of inbound tourists shows obvious off-peak seasons, with relatively high sensitivity to the influence of economic, policy and infrastructure construction factors; (2) in terms of spatial distribution characteristics, the inbound tourism flow in Tibet shows an “axis-scattered” distribution. The core area is centred on Lhasa and extends in three directions: west, north and east along important roads.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/27/e3sconf_ictees2021_03009.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gao HuaJian Mou NaiXia |
spellingShingle |
Gao HuaJian Mou NaiXia Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs E3S Web of Conferences |
author_facet |
Gao HuaJian Mou NaiXia |
author_sort |
Gao HuaJian |
title |
Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs |
title_short |
Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs |
title_full |
Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs |
title_fullStr |
Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs |
title_full_unstemmed |
Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs |
title_sort |
changes in the spatial and temporal characteristics of inbound tourism flows in tibet based on geotagged photographs |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
With the further advent of the era of big data, the scale of social media data containing geolocation information is exploding, providing a new source of big data information and perspective for an in-depth study of the changing spatio-temporal and geographical characteristics of the current tourist population. This paper extracts data on popular attractions in the Tibet Autonomous Region using the HDBSCAN algorithm combined with the TF-IDF algorithm based on information on images with geotags shared by users in the Flickr image sharing site from 2005-2018. Social network analysis was used to explore the changes in the spatial and temporal characteristics of inbound tourism flows in Tibet. The results show that: (1) in terms of temporal characteristics, the number of inbound tourists shows obvious off-peak seasons, with relatively high sensitivity to the influence of economic, policy and infrastructure construction factors; (2) in terms of spatial distribution characteristics, the inbound tourism flow in Tibet shows an “axis-scattered” distribution. The core area is centred on Lhasa and extends in three directions: west, north and east along important roads. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/27/e3sconf_ictees2021_03009.pdf |
work_keys_str_mv |
AT gaohuajian changesinthespatialandtemporalcharacteristicsofinboundtourismflowsintibetbasedongeotaggedphotographs AT mounaixia changesinthespatialandtemporalcharacteristicsofinboundtourismflowsintibetbasedongeotaggedphotographs |
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