A Study on the Image Perception of Tourist Destinations in Coastal Cities Based on Big Data Analysis

Jia, Faxian

doi:10.2112/jcr-si115-032.1

Cited by 5 publications

(4 citation statements)

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“…Researchers analyzing the image of destinations have different approaches to its assessment, demonstrating different models that include cognitive, emotional, and behavioral factors (Chon, 1991;Echtner & Ritchie, 1991;Gallarza et al, 2002;Pike, 2002;2007;Tasci et al, 2007). Nowadays, a growing amount of literature is devoted to the issues of event tourism and the image of tourist destinations (Jeong & Kim, 2019b;Wang & Jin, 2019;Ziyadin et al, 2019;Jia, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of a sports mega-event on the perception of the image of a tourist destination

Rozhda

Шерешева

2021

BJE

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Given a changing global context, there is a need to understand if sports mega-events that are now often hosted by the BRICS countries can serve as a tool to improve their international perception as attractive tourist destinations. The study presented in the paper analyzes the perception of Russia and host cities of the 2018 FIFA World Cup by visiting fans. The problem was examined using the available secondary data, as well as empirical data obtained in the spring of 2021 by means of semi-structured interviews and survey methods. The study confirms that hosting of a sports mega-event affects the perception of the destination by its visitors. Organizing such an event encourages people to choose a location that has not been considered before and helps to dispel negative myths and stereotypes imposed by the media. The results also confirm that attending a sports mega-event may lead to an intention to revisit its venue. The results of the study are useful to an international audience, both academics and practitioners, including policy makers.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of a sports mega-event on the perception of the image of a tourist destination

Rozhda

Шерешева

2021

BJE

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“…Researchers analyzing the image of destinations have different approaches to its assessment, demonstrating different models that include cognitive, emotional, and behavioral factors (Chon, 1991;Echtner & Ritchie, 1991;Gallarza et al ., 2002;Pike, 2002;Tasci et al ., 2007) . Nowadays, a growing amount of literature is devoted to the issues of event tourism and the image of tourist destinations (Jeong & Kim, 2019b;Wang & Jin, 2019;Ziyadin et al ., 2019;Jia, 2020) .…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2021

BJE

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The purpose of this article is to detect a possible linear and nonlinear causal relationship between the conditional stochastic volatility of log return of interbank interest rates for the BRICS countries in the period from January 2015 to October 2018 . To extract the volatility of the analyzed time series, we use a stochastic volatility model with moving average innovations . To test a causal relationship between the estimated stochastic volatilities, two steps are applied . First, we used the Granger causality test and a vector autoregressive model (VAR) . Secondly, we applied the nonlinear Granger causality test to the raw data to explore a new nonlinear causal relationship between stochastic volatility time series, and also applied it to the residual of the VAR model to confirm the causality detected in the first step . This study demonstrates the existence of some unidirectional/bidirectional linear/nonlinear causal relationships between the studied stochastic volatility time series .

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“…However, the quantity of data from these research methods is limited and insufficient to reflect the comprehensive information on urban imagery [20]. With the popularization of the internet, tourists are more willing to express their true feelings about their consumption experience on social media platforms [21]. Tourist-generated content (TGC) contains not only tourists' perceived imagery of the destination, but also travel itineraries and sentimental evaluations [22,23].…”

Section: Introductionmentioning

confidence: 99%

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

Hu,

Chen

2023

Sustainability

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Urban tourism imagery is an essential factor affecting the competitiveness of cities. However, most existing studies use small data methods such as interviews and questionnaires to explore tourists’ perceptions of cities without combining big data for analysis. In addition, there is relatively little research on the tourism imagery of coastal cities. Therefore, this study analyzes the data from 523 travelogues from a three-dimensional perspective of identity, structure, and meaning, using methods such as BERTopic, aiming to explore the tourism imagery of coastal cities perceived by tourists. The results show the following: (1) In terms of identity, Sanya’s urban tourism imagery has the attribute of “external explicit-internal implicit”, which satisfies tourists’ visual and spiritual experiences. (2) Regarding structure, Sanya has a clear regional division of imagery and a core–edge diffusion distribution among regions. (3) Regarding meaning, tourists’ attitudes toward Sanya are polarized. Positive emotions predominate in the overall perception of meaning, but 25% of the negative emotions require urgent attention. This study provides a reference for the sustainable development of tourism cities and the marketing management of destinations.

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A Study on the Image Perception of Tourist Destinations in Coastal Cities Based on Big Data Analysis

Cited by 5 publications

References 0 publications

Impact of a sports mega-event on the perception of the image of a tourist destination

Impact of a sports mega-event on the perception of the image of a tourist destination

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Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

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