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Tourists' digital footprint: The spatial patterns of tourist flows in Qingdao, China

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Item embargoed until 2023-05-19. Restrictions imposed by the publisher
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Date
2020
Author(s)
Mou, Naixia
Zheng, Yunhao
Makkonen, Teemu
Yang, Tengfei
Tang, Jinwen (Jimmy)
Song, Yan
Unique identifier
10.1016/j.tourman.2020.104151
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Citation
Mou, Naixia. Zheng, Yunhao. Makkonen, Teemu. Yang, Tengfei. Tang, Jinwen (Jimmy). Song, Yan. (2020). Tourists' digital footprint: The spatial patterns of tourist flows in Qingdao, China.  Tourism management, 81, 104151. 10.1016/j.tourman.2020.104151.
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© Elsevier Ltd.
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CC BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract

Spatial patterns of tourist flows represent the movement of tourists and show differences in tourism resources giving advice for promoting balanced and sustainable tourism development. This paper proposes a novel framework for analyzing these patterns based on tourists' digital footprint data collected from online travel diaries. Based on illustrative case study data from Qingdao (China), the framework, combining traditional quantitative and social network analysis, is able to pinpoint: (1) The influence of distance decay and attractions’ popularity on the spatial patterns of tourist flows; (2) The uneven distribution of the core tourist nodes and the existence of the structural hole phenomenon, which form a network pattern with unbalanced power and intense internal competition; (3) The formation of the core area for tourism along the coastline – as is typical for coastal tourism cities. This difference of tourism resources between coastal and inland areas, thus, remains a challenge for future tourism development in Qingdao.

Subjects
tourist flow   spatial pattern   digital footprint   Qingdao   online travel diary   social network analysis   
URI
https://erepo.uef.fi/handle/123456789/8139
Link to the original item
http://dx.doi.org/10.1016/j.tourman.2020.104151
Publisher
Elsevier BV
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  • Yhteiskuntatieteiden ja kauppatieteiden tiedekunta [378]
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