A big-data approach for investigating destination image gap in Sanya City: When will the online and the offline goes parted?

Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations. Additionally, the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents (UGC). Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China, this study innovatively employed a big-data analysis technique, Tourism Sentiment Evaluation (TSE) model and proposed a new analysis framework integrating the “cognitive-affective” model with the gap analysis of projected and perceived destination image to explore the destination image gap of Sanya. It is found that Sanya’s perceptive destination image is overall consistent with its official positioning; however, there also exist image gaps between the two groups in terms of the impact of festival events and tourists’ attitude towards core scenic spots amongst others. This study’s findings are discussed in light of their methodological, theoretical, and practical implications for destination positioning, marketing, and management

Medición de la calidad del turismo en España: Análisis entre los turistas asiáticos usando técnicas de Big Data

Este libro forma parte de la investigación desarrollada con la financiación obtenida en la 5ª Convocatoria de proyectos de cooperación interuniversitario Uam-Banco Santander con Asia de la Universidad Autónoma de Madri

Phase Engineering of Zirconium MOFs Enables Efficient Osmotic Energy Conversion: Structural Evolution Unveiled by Direct Imaging

Creating structural defects in a controlled manner within metal–organic frameworks (MOFs) poses a significant challenge for synthesis, and concurrently, identifying the types and distributions of these defects is also a formidable task for characterization. In this study, we demonstrate that by employing 2-sulfonylterephthalic acid as the ligand for synthesizing Zr (or Hf)-based MOFs, a crystal phase transformation from the common fcu topology to the rare jmt topology can be easily facilitated using a straightforward mixed-solvent strategy. The jmt phase, characterized by an extensively open framework, can be considered a derivative of the fcu phase, generated through the introduction of missing-cluster defects. We have explicitly identified both MOF phases, their intermediate states, and the novel core–shell structures they form using ultralow-dose high-resolution transmission electron microscopy. In addition to facilitating phase engineering, the incorporation of sulfonic groups in MOFs imparts ionic selectivity, making them applicable for osmotic energy harvesting through mixed matrix membrane fabrication. The membrane containing the jmt-phase MOF exhibits an exceptionally high peak power density of 10.08 W m–2 under a 50-fold salinity gradient (NaCl: 0.5 M|0.01 M), which surpasses the threshold of 5 W m–2 for commercial applications and can be attributed to the combination of large pore size, extensive porosity, and abundant sulfonic groups in this novel MOF material