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Articles

How inter-city high-speed rail influences tourism arrivals: evidence from social media check-in data

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Pages 1025-1042 | Received 03 Aug 2016, Accepted 27 Jun 2017, Published online: 12 Jul 2017

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Spencer A. Wood, Samantha G. Winder, Emilia H. Lia, Eric M. White, Christian S. L. Crowley & Adam A. Milnor. (2020) Next-generation visitation models using social media to estimate recreation on public lands. Scientific Reports 10:1.
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Lan Xue & Yi Zhang. (2020) The effect of distance on tourist behavior: A study based on social media data. Annals of Tourism Research 82, pages 102916.
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Chengye Zhang, Yanqiu Pei, Jun Li, Qiming Qin & Jun Yue. (2020) Application of Luojia 1-01 Nighttime Images for Detecting the Light Changes for the 2019 Spring Festival in Western Cities, China. Remote Sensing 12:9, pages 1416.
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Naimat Ullah Khan, Wanggen Wan & Shui Yu. (2020) Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS International Journal of Geo-Information 9:2, pages 70.
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Shama Nazneen, Hong Xu & Nizam Ud Din. (2019) Cross‐border infrastructural development and residents' perceived tourism impacts: A case of China–Pakistan Economic Corridor. International Journal of Tourism Research 21:3, pages 334-343.
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Yunmin Wang, Jie Dong & Jingjing Wang. (2022) Does High-Speed Rail Promote Residents' Subjective Well-Being? Evidence from China. SSRN Electronic Journal.
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