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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ftpubmed:oai:pubmedcentral.nih.gov:7550869 2023-05-15T16:49:55+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 2021-01 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550869/ https://doi.org/10.1016/j.compenvurbsys.2020.101561 en eng Elsevier Ltd. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550869/ http://dx.doi.org/10.1016/j.compenvurbsys.2020.101561 © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Comput Environ Urban Syst Article Text 2021 ftpubmed https://doi.org/10.1016/j.compenvurbsys.2020.101561 2020-10-18T00:36:15Z 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. Text Iceland PubMed Central (PMC) Computers, Environment and Urban Systems 85 101561 |
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Article 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 |
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Article |
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. |
format |
Text |
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 |
Elsevier Ltd. |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550869/ https://doi.org/10.1016/j.compenvurbsys.2020.101561 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Comput Environ Urban Syst |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550869/ http://dx.doi.org/10.1016/j.compenvurbsys.2020.101561 |
op_rights |
© 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
op_doi |
https://doi.org/10.1016/j.compenvurbsys.2020.101561 |
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Computers, Environment and Urban Systems |
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85 |
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101561 |
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1766040095651004416 |