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...

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Published in:Computers, Environment and Urban Systems
Main Authors: Zheng, Yunhao, Mou, Naixia, Zhang, Lingxian, Makkonen, Teemu, Yang, Tengfei
Other Authors: Karelian Institute, activities
Format: Article in Journal/Newspaper
Language:unknown
Published: Yhdysvallat (USA) 2020
Subjects:
Online Access:https://erepo.uef.fi/handle/123456789/8379
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spelling 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
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