Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China DOI Open Access
Tao Hu, Huimin Chen

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15365 - 15365

Published: Oct. 27, 2023

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 cities without combining big for analysis. In addition, there relatively little research on coastal Therefore, this study analyzes from 523 travelogues a three-dimensional perspective identity, structure, meaning, using BERTopic, aiming perceived by tourists. The results show following: (1) terms Sanya’s urban has attribute “external explicit-internal implicit”, which satisfies visual spiritual experiences. (2) Regarding Sanya clear regional division core–edge diffusion distribution among regions. (3) attitudes toward are polarized. Positive emotions predominate in overall perception but 25% negative require urgent attention. This provides reference sustainable development marketing management destinations.

Language: Английский

Exploring Tourists’ Behavioral Patterns in Bali’s Top-Rated Destinations: Perception and Mobility DOI Creative Commons
Dian Puteri Ramadhani, Andry Alamsyah, Mochamad Yudha Febrianta

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2024, Volume and Issue: 19(2), P. 743 - 773

Published: April 1, 2024

The tourism sector plays a crucial role in the global economy, encompassing both physical infrastructure and cultural engagement. Indonesia has wide range of attractions experienced remarkable growth, with Bali as notable example this. With rapid advancements technology, travelers now have freedom to explore independently, while online travel agencies (OTAs) serve important resources. Reviews from tourists significantly impact service quality perception destinations, text mining is valuable tool for extracting insights unstructured review data. This research integrates multiclass classification network analysis uncover tourists’ behavioral patterns through their perceptions movement. study innovates beyond conventional sentiment cognitive image dimensions explores correlation between different dimensions. We find that destinations generally receive positive feedback, 80.36% reviews, natural being most aspect least aspect. highlight qualitative experiences do not always align quantitative cost-effectiveness evaluations. Through analysis, we identify tourist mobility, highlighting three clusters cater diverse preferences. underscores need strategically adapt varied expectations, enhancing appeal aligning services preferences elevate destination competitiveness increase satisfaction.

Language: Английский

Citations

17

Does location affect the mechanism of tourism competitiveness? Evidence from machine learning analysis DOI
Qiuhao Zhao, Pengfei Xu, Bingbing Wang

et al.

Tourism Management Perspectives, Journal Year: 2024, Volume and Issue: 53, P. 101291 - 101291

Published: Aug. 20, 2024

Language: Английский

Citations

13

Destination image: A review from 2012 to 2023 DOI Creative Commons
Zuo Wang, Piyachat Udomwong, Jing Fu

et al.

Cogent Social Sciences, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 1, 2023

More than 50 years have passed since the first article on destination image was published, and this body of research is still one most popular topics in tourism studies. However, limited has focused recent advancements emerging trends research. Therefore, there a pressing need for comprehensive up-to-date review to evaluate its progress, identify key features, explore future possibilities. Employing meta-analysis methodology, study scrutinized 178 articles from 11 esteemed academic journals published between January 2012 April 2023. The analysis encompasses various aspects, including publication trends, journal distribution, productive authors, methods. Furthermore, introduces concept "e-WOM image," which offers profound understanding intricate associations among within domain exploration image" as potential field holds promise advancing coming years.

Language: Английский

Citations

22

Satisfaction and sustainability concerns in whale-watching tourism: A user-generated content model DOI Creative Commons
Carmelo J. León, Chaitanya Suárez-Rojas, José Manuel Cazorla-Artiles

et al.

Tourism Management, Journal Year: 2024, Volume and Issue: 106, P. 105019 - 105019

Published: Aug. 2, 2024

This study examines the satisfaction and sustainability concerns of whale-watching tourists by analysing user-generated content (UGC) on social media. A model was developed estimated utilising an ordered probit analysis with UGC data from TripAdvisor over last 13 years that includes a specific lexicon. The addresses most physical, human, environmental, experiential, operational aspects activity, including consumers' feelings concerns. significance variables in proven available empirical data. findings provide comprehensive description underpinnings whale watchers' preferences evidence reveals compelling trends towards higher influencing satisfaction, providing valuable information for industry its decision-makers understanding tourism.

Language: Английский

Citations

6

Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness DOI Creative Commons
Jinyan Chen, Jie Wu, Dan Wang

et al.

Tourism Management, Journal Year: 2024, Volume and Issue: 106, P. 105022 - 105022

Published: Aug. 8, 2024

In the dynamic field of destination management, maintaining a destination's competitiveness requires understanding evolving preferences tourists. However, current research often adopts static approach, failing to capture nature tourist needs and destination. To address this, we introduce novel approach using user-generated content from various social media platforms over six-year period assess key attributes that influence competitiveness. The results indicate in deciding are not fixed, with some remaining stable factors competitiveness, while others fluctuate time. Attributes even alter their competitive standing could significantly impact overall This contributes model allows managers adapt strategies real time, aligning market conditions enhancing tourism industry.

Language: Английский

Citations

5

Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system DOI Creative Commons
Shengtian Zhang, Yongbo Li, Xiaoxia Song

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0318846 - e0318846

Published: Feb. 7, 2025

Perceptual recognition of tourist destinations is vital in representing the destination image, supporting management decision-making, and promoting tourism recommendations. However, previous studies on perception have limitations regarding accuracy completeness related to research methods. This study addresses these by proposing an efficient strategy achieve precise perceptual while ensuring integrity user-generated content (UGC) data dimensions. We integrated various types UGC data, including images, texts, spatiotemporal information, create a comprehensive dataset. Then, we adopted improved Inception V3 model, bidirectional long short-term memory network (BiLSTM) model with multi-head attention, geographic information system (GIS) technology recognize basic feature from dataset, such as content, sentiment, dimensions achieving over 97%. Finally, progressive dimension combination method was proposed visualize analyze multiple perceptions. An experimental case demonstrated strategy’s effectiveness, focusing tourists’ perceptions Datong, China. Experimental results show that approach feasible for studying perception. Content perception, sentiment Datong’s spatial temporal characteristics were recognized analyzed efficiently. offers valuable guidance reference framework selecting methods technical routes

Language: Английский

Citations

0

Evaluation of tourism elements in historical and cultural blocks using machine learning: a case study of Taiping Street in Hunan Province DOI Creative Commons
Jia Wang, Wei Fan, Jiegang You

et al.

Published: Feb. 22, 2025

Language: Английский

Citations

0

Balancing Tourism Seasonality: The Role of Tourism Destination Image (TDI) and Spatial Levels (SLs) DOI Open Access
Jie Wang, Xi Chen

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2569 - 2569

Published: March 14, 2025

Balancing tourism seasonality remains a significant challenge in the management of tourist attractions. Despite existing research on impact from perspectives intention cognition and spatial theory, gaps still exist relevant literature. This study examines 16 5A-level scenic spots China with peak-season, flat-season, off-season themes, utilizing 8385 reviews Ctrip.com as data. The LDA topic model is employed to analyze destination image (TDI) under destination, level (SL) combined hierarchy these images. findings reveal an association between TDI SL destination. For instance, peak-season themes (e.g., ‘viewing scenery’) exhibit support 0.789, while ‘relaxed itinerary’) reach 0.682, reflecting tourists’ prioritization functional versus psychological dimensions across seasons. proposed TDI-SL correlation theory bridges supply-side resource allocation perceptual dynamics, offering novel framework rebalance seasonal demand–supply through strategic planning recalibration. Practically, this guides managers design season-specific strategies, such optimizing crowd peak seasons or promoting immersive experiences off-seasons.

Language: Английский

Citations

0

Can gamification marketing enhance the digital destination image of cultural heritage sites? DOI

Wan-Ya Zhang,

Shu-Ning Zhang, Wen-Qi Ruan

et al.

Journal Of Vacation Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Digital technology represents a powerful tool for the market competitiveness of cultural heritage sites. However, destination content marketing research has received limited attention from gamification digital perspective. Concerning tourism advertising effects (AIEDA) model and four-phase interest development, this study investigated impact form (gamification vs. non-gamification) on images in two experiments. Study 1 examined confirmed that (vs. fosters better image. Moreover, awakening perceived attractiveness mediated relationship. 2 further revealed moderating role storyteller image's symbolism. When storyteller's symbolism is low, more conducive to establishing an excellent image; however, storytellers with high do not have significant effects. Our provides theoretical practical implications how practitioners can harness marketing.

Language: Английский

Citations

0

Unlocking the power of multimodal online reviews: A multisensory perspective DOI
Shaolong Sun, Haoqiang Sun,

Haozhe Xu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 111, P. 105206 - 105206

Published: May 3, 2025

Language: Английский

Citations

0