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Original Articles

Photography-based analysis of tourists’ temporal–spatial behaviour in the Old Town of Lijiang

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Pages 523-529 | Published online: 15 Aug 2011

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Read on this site (5)

Xing Su, Bas Spierings, Martin Dijst & Ziqi Tong. (2020) Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data. Current Issues in Tourism 23:12, pages 1542-1558.
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Ambassador Rezene Meretse, Reidar J. Mykletun & Kari Einarsen. (2016) Participants' benefits from visiting a food festival – the case of the Stavanger food festival (Gladmatfestivalen). Scandinavian Journal of Hospitality and Tourism 16:2, pages 208-224.
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Lina Tang, Xiancao Zheng, Xiaodan Su, Shuanning Zheng & Guofan Shao. (2013) Experimental mobile environmental monitoring and real-time analysis as an initial application of EIoT in town villages in China. International Journal of Sustainable Development & World Ecology 20:3, pages 267-271.
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Hans Opschoor & Lina Tang. (2011) Growth, world heritage and sustainable development: the case of Lijiang City, China. International Journal of Sustainable Development & World Ecology 18:6, pages 469-473.
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Articles from other publishers (11)

Xiliang Chen, Gang Li, Muhammad Sajid Mehmood, Qifan Nie & Jie Yu. (2023) Integration and differentiation: comparison of photography behaviors using unmanned aerial vehicle data in China and Europe. Humanities and Social Sciences Communications 10:1.
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Zongshun Tian, Qin Wang, Yong Liu & Ziyue Wang. (2023) Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China. Applied Geography 159, pages 103090.
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Irina Di Ruocco, Alessio D’Auria, Rosaria R. D’Alterio & Agostino De Rosa. (2023) A Framework for a User-Perception-Based Approach to Integrate Landscape Protection in Soft Mobility Planning. Land 12:5, pages 1048.
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Xiaoming Liu, Mei Xu & Huiling Zhou. (2022) Analyzing the Spatio-Temporal Distribution and Network Structure of Ecotourism Flow in Zhangjiajie. Sustainability 14:5, pages 2496.
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Yu Gao, Dongqi Sun & Jingxiang Zhang. (2021) Study on the Impact of the COVID-19 Pandemic on the Spatial Behavior of Urban Tourists Based on Commentary Big Data: A Case Study of Nanjing, China. ISPRS International Journal of Geo-Information 10:10, pages 678.
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Yunhao Zheng, Naixia Mou, Lingxian Zhang, Teemu Makkonen & Tengfei Yang. (2021) Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data. Computers, Environment and Urban Systems 85, pages 101561.
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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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Angela Chantre-Astaiza, Laura Fuentes-Moraleda, Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez. (2019) Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability. Sustainability 11:17, pages 4738.
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Priit Järv. (2017) Extracting Human Mobility Data from Geo-tagged Photos. Extracting Human Mobility Data from Geo-tagged Photos.
Wenxing Lu & Xiao Wei. (2017) Spatio-temporal Distribution Pattern of Cable Car Passenger Flow in Panholidays: A Case Study of Huangshan Scenic Area. Spatio-temporal Distribution Pattern of Cable Car Passenger Flow in Panholidays: A Case Study of Huangshan Scenic Area.
Bob McKercher & Judit Zoltan. 2014. The Wiley Blackwell Companion to Tourism. The Wiley Blackwell Companion to Tourism 33 44 .

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