Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data
Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the research object, this paper focuses on their behavior, seasonal patterns and complex network effects by using geo-locat...
Published in: | Computers, Environment and Urban Systems |
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2020
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Online Access: | https://erepo.uef.fi/handle/123456789/8379 |
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ftuniveasternfin:oai:erepo.uef.fi:123456789/8379 2023-05-15T16:50:08+02:00 Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data Zheng, Yunhao Mou, Naixia Zhang, Lingxian Makkonen, Teemu Yang, Tengfei Karelian Institute, activities 2020-10-16T05:44:26Z https://erepo.uef.fi/handle/123456789/8379 englanti unknown Yhdysvallat (USA) Computers environment and urban systems http://dx.doi.org/10.1016/j.compenvurbsys.2020.101561 10.1016/j.compenvurbsys.2020.101561 101561 0198-9715 85 https://erepo.uef.fi/handle/123456789/8379 CC BY-NC-ND 4.0 openAccess © 2020 Elsevier Ltd https://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND Chinese tourists spatio-temporal behavior nordic countries geo-located travel blog complex network Tieteelliset aikakauslehtiartikkelit A1 article artikkeli 2020 ftuniveasternfin https://doi.org/10.1016/j.compenvurbsys.2020.101561 2023-01-25T23:58:31Z Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the research object, this paper focuses on their behavior, seasonal patterns and complex network effects by using geo-located travel blog data collected from Qunar.com. The results show that: (1) Chinese tourists visiting Nordic countries are often experienced in traveling. The local climate during the cold season does not prevent them from pursuing the aurora scenery. (2) The travel behavior of Chinese tourists is spatially heterogeneous. The network analysis reveals that Iceland showcases stronger, compared to the other Nordic countries, community independence and small world effect. (3) During the warm season, Chinese tourists choose a variety of destinations, while in cold season, they tend to choose destinations with higher chances for spotting the northern lights. These results provide helpful information for the tourism management departments of Nordic countries to improve their marketing and development efforts directed for Chinese tourists. final draft peerReviewed Article in Journal/Newspaper Iceland UEF eRepository (University of Eastern Finland) Computers, Environment and Urban Systems 85 101561 |
institution |
Open Polar |
collection |
UEF eRepository (University of Eastern Finland) |
op_collection_id |
ftuniveasternfin |
language |
unknown |
topic |
Chinese tourists spatio-temporal behavior nordic countries geo-located travel blog complex network |
spellingShingle |
Chinese tourists spatio-temporal behavior nordic countries geo-located travel blog complex network Zheng, Yunhao Mou, Naixia Zhang, Lingxian Makkonen, Teemu Yang, Tengfei Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
topic_facet |
Chinese tourists spatio-temporal behavior nordic countries geo-located travel blog complex network |
description |
Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the research object, this paper focuses on their behavior, seasonal patterns and complex network effects by using geo-located travel blog data collected from Qunar.com. The results show that: (1) Chinese tourists visiting Nordic countries are often experienced in traveling. The local climate during the cold season does not prevent them from pursuing the aurora scenery. (2) The travel behavior of Chinese tourists is spatially heterogeneous. The network analysis reveals that Iceland showcases stronger, compared to the other Nordic countries, community independence and small world effect. (3) During the warm season, Chinese tourists choose a variety of destinations, while in cold season, they tend to choose destinations with higher chances for spotting the northern lights. These results provide helpful information for the tourism management departments of Nordic countries to improve their marketing and development efforts directed for Chinese tourists. final draft peerReviewed |
author2 |
Karelian Institute, activities |
format |
Article in Journal/Newspaper |
author |
Zheng, Yunhao Mou, Naixia Zhang, Lingxian Makkonen, Teemu Yang, Tengfei |
author_facet |
Zheng, Yunhao Mou, Naixia Zhang, Lingxian Makkonen, Teemu Yang, Tengfei |
author_sort |
Zheng, Yunhao |
title |
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
title_short |
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
title_full |
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
title_fullStr |
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
title_full_unstemmed |
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data |
title_sort |
chinese tourists in nordic countries: an analysis of spatio-temporal behavior using geo-located travel blog data |
publisher |
Yhdysvallat (USA) |
publishDate |
2020 |
url |
https://erepo.uef.fi/handle/123456789/8379 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
Computers environment and urban systems http://dx.doi.org/10.1016/j.compenvurbsys.2020.101561 10.1016/j.compenvurbsys.2020.101561 101561 0198-9715 85 https://erepo.uef.fi/handle/123456789/8379 |
op_rights |
CC BY-NC-ND 4.0 openAccess © 2020 Elsevier Ltd https://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.compenvurbsys.2020.101561 |
container_title |
Computers, Environment and Urban Systems |
container_volume |
85 |
container_start_page |
101561 |
_version_ |
1766040313441288192 |