The spectacular and the mundane: Chinese tourists’ online representations of an iconic landscape journey

Pearce, Philip L.; Wu, Mao-Ying; Chen, Tingzhen

doi:10.1016/j.jdmm.2014.11.001

Cited by 35 publications

(29 citation statements)

References 54 publications

(60 reference statements)

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“…Chinese tourists' social media is not only popular for providing information, but also for exchanging experiences [33]. As a result, the analysis of Chinese social media and blogs has become interesting to researchers, mainly because online reporting may act as key signposts shaping tourist behaviour from China as the market diversifies [34]. Almost all studies carried out recently have been restricted to text in English.…”

Section: Social Media Mining For Tourism Researchmentioning

confidence: 99%

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Kaufmann

Siegfried

Huck

et al. 2019

IJGI

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We contribute a system design and a generalized formal methodology to segment tourists based on their geolocated blogging behaviour according to their interests in identified tourist hotspots. Thus, it is possible to identify and target groups that are possibly interested in alternative destinations to relieve overtourism. A pilot application in a case study of Chinese travel in Switzerland by analysing Qyer travel blog data demonstrates the potential of our method. Accordingly, we contribute four conclusions supported by empirical data. First, our method can enable discovery of plausible geographical distributions of tourist hotspots, which validates the plausibility of the data and its collection. Second, our method discovered statistically significant stochastic dependencies that meaningfully differentiate the observed user base, which demonstrates its value for segmentation. Furthermore, the case study contributes two practical insights for tourism management. Third, Chinese independent travellers, which are the main target group of Qyer, are mainly interested in the discovered travel hotspots, similar to tourists on packaged tours, but also show interest in alternative places. Fourth, the proposed user segmentation revealed two clusters based on users’ social media activity level. For tourism research, users within the second cluster are of interest, which are defined by two segmentation attributes: they blogged about more than just one location, and they have followers. These tourists are significantly more likely to be interested in alternative destinations out of the hotspot axis. Knowing this can help define a target group for marketing activities to promote alternative destinations.

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Section: Social Media Mining For Tourism Researchmentioning

confidence: 99%

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Kaufmann

Siegfried

Huck

et al. 2019

IJGI

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“…Considering the growing number of pictures shared in social media, this approach seems to have a promising future. Moreover, some researchers have classified and interpreted pictures according to the iconic representations of the destination (Pearce et al, 2015) and the influence of photographs on the perceptions that individuals will acquire of a specific place (Kim and Stepchenkova, 2015).…”

Section: General Findings On Literature Analyzing the Content Of Pipmentioning

confidence: 99%

“…Again, these agents need a tool to understand and compare their projected image for different reasons: DMOs in order to project a different image from their competitors, according to their positioning; and tour operators to properly manage the portfolio of products (destinations) on display. Regarding the number of photographs analyzed, it ranges from 46 (Francesconi, 2011) to 10,000 (Pearce et al, 2015). Only five articles analyzed less than 100 pictures, while almost half of them dealt with more than thousand pictures.…”

Section: General Findings On Literature Analyzing the Content Of Pipmentioning

confidence: 99%

Analysis of the projected image of tourism destinations on photographs: A literature review to prepare for the future

Peral¹,

Gil

2017

Journal of Vacation Marketing

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Making the right impression is paramount to succeed in today’s very competitive market, where photographs have acquired a prominent role in doing so. The evaluation and analysis of destination image have been tackled mainly from the perspective of the tourists’ perceptions. However, the projected image of destinations has received limited attention in the literature and the topic has not yet been successfully operationalized. Moreover, existing literature on the projected image on photographs (PIP) is scattered and lacking of an integral approach. Thus, the aim of this article is to fill this gap by carrying a comprehensive literature review on the destination’s PIP, covering information sources analyzed, destinations included, number of pictures, time framework, methodology, and specially categorization (people, activities represented, and tourism context) and specific attributes used. As a result, this article provides researchers with a reference guide to understand the current situation of the research on this topic, context, methods, and focus of previous studies. Finally, it identifies trends and reflections on future research.

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“…Moscardo, 2011), destination image (e.g. Pearce, Wu, & Chen, 2015), and tourism transport issues (e.g. Dickinson, Robbins, & Fletcher, 2009).…”

Section: Journal Of Sustainable Tourismmentioning

confidence: 99%

A social representation approach to facilitating adaptive co-management in mountain destinations managed for conservation and recreation

Lai

Hsu

Wearing

2015

Journal of Sustainable Tourism

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Mountain destinations are often managed not only to support tourism and recreation but also to maintain a range of sensitive ecological processes and services. Resource use and management activities in mountain destinations are manifestations of various representations of mountain landscapes that may contribute to tension and conflicts, or collaboration and learning between stakeholders of mountain destinations. Adaptive co-management (ACM) that adopts a social learning model to forge collaborative natural resource management provides one approach to managing complex and dynamic social-ecological systems in mountain destinations. Social representations (SR) theory, as a theory of social knowledge and social change, offers one theoretical lens with which to gain insights into the representations that different stakeholders ascribe to mountain landscapes and to assist in developing functioning ACM. The utility of SR theory for ACM arrangements is examined using a case study that explores the representations of the mountain landscape within Yushan National Park (YNP) in Taiwan from the perspectives of three resource user groups: committed mountaineers, professional guides, and mountain tourists. The study findings are used to demonstrate how the processes of representations and dialogical antinomies embedded in representations can impede or facilitate stakeholder interactions in ACM.

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The spectacular and the mundane: Chinese tourists’ online representations of an iconic landscape journey

Cited by 35 publications

References 54 publications

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Analysis of the projected image of tourism destinations on photographs: A literature review to prepare for the future

A social representation approach to facilitating adaptive co-management in mountain destinations managed for conservation and recreation

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