The recent crisis-filled period has placed a significant burden on various businesses, including in the tourism sector. As a result, the concept of resilience, the flexible ability to resist, has become more and more tangible. This study aims to update the quantitative organizational resilience assessment scale of Orchiston, Prayag and Brown. The paper analyses a sample of 87 tourism service providers managing attractions, and factor analysis was carried out to identify the factors in order to be able to measure the resilience of tourism service providers. Four factors could be identified: Leadership and Organization, Strategy, Independence, and Internal Identity. These identified factors and the included 14 items mean the key contribution, as a new, updated assessment system.

This study explores benefits, barriers and willingness to pay for bike-sharing service in tourism context. Based on a sample of 800 individuals who visited Da Nang, Vietnam between July and August 2023, trends in the barriers and benefits related to bike-sharing service from tourists’ point-of-view were explored. The results show that bike-sharing is appreciated for many reasons, notably for its fun/relaxing, cost saving, ease of city exploration, and promotion of better physical and mental health. However, bike-sharing services are considerably less likely to be viewed as options for faster transportation to a destination or reducing traffic hazards. Notably, eighty-six percent of non-riders indicated contentment with their existing transportation options and a lack of interest in bike-sharing services, a proportion significantly higher than any other group. Predictably, barriers related to the availability of bike-sharing and infrastructure, such as lack of sufficient number of shared bikes, far destination, and poor road conditions were notably more likely to be selected by one-time riders. The results are also evident that a significant portion of tourists is willing to pay to enhance their tourist experience with a bike-sharing service. On average, tourists were willing to pay $0.92 per hour (with a standard deviation of $0.24). This amount reflects the tourists’ recognition of the value added to their mode experience. These findings suggest that bike-sharing service play a significant role in fulfilling an essential transportation niche and have the potential to contribute to enhance tourists’ experience. Efforts aimed at addressing barriers associated with bike-sharing usage could further enhance their contribution to improve tourist satisfaction and boost attraction demand.

Cultural tourism, an important component of the wider tourism industry, has received significant attention due to the complex interplay between cultural heritage and tourism experiences. This form of tourism invites tourists to discover the arts, traditions, and lifestyles of diverse communities, thereby enriching intercultural encounters. Examining the rapidly evolving field of cultural tourism research, this article looks at its many facets, highlighting its growth, thematic focus, and global importance. In order to better understand the wealth and highlight the body of work, this study undertakes a bibliometric analysis of the concept of cultural tourism. This exploration employs bibliometric searching of journals indexed in the web of science database from 1996 to 2023, using the biblioshiny software in rstudio. This approach provides a global perspective, revealing a prolific and multidisciplinary production of the concept of cultural tourism. The study identifies a total of 369 articles published between 1996 and 2023, involving 781 authors and 244 journals. The results underline the widespread engagement with the subject across diverse scientific communities and geographical regions.

The coronavirus pandemic has reinforced the need for sustainable, smart tourism and local travel, with rural destinations gaining in their popularity and leading to increased potential of smart rural tourism. However, these processes need adjustments to the current trends, incorporating new transformative business concepts and marketing approaches. In this paper we provide real life examples of new marketing approaches, together with new business models within the context of the use of new digital technologies. Via hermeneutic research approach, consisting of the secondary analysis of the addressed subject of smart rural tourism in adversity of the COVID-19 and 6 semi-structured interviews, the importance of technology is underscored in transforming rural tourism to smart rural tourist destinations. The respondents in the interview section were chosen based on their direct involvement in the presented examples and geographical location, i.e. France, Slovenia and Spain, where presented research examples were developed, concretely within European programmes, i.e. Interreg, Horizon and Rural Development Programme (RDP). Interviews were taking place between 2022 and 2023 in person, email or via Zoom. This two-phased study demonstrates that technology is important in transforming rural tourism to smart tourist destinations and that it ushers new approaches that seem particularly useful in applying to rural areas, creating a rural digital innovation ecosystem, which acts as s heuristic rural tourist model that fosters new types of tourism, i.e. smart rural tourism.

In view of the fact that the convolution neural network segmentation method lacks to capture the global dependency of infected areas in COVID-19 images, which is not conducive to the complete segmentation of scattered lesion areas, this paper proposes a COVID-19 lesion segmentation method UniUNet based on UniFormer with its strong ability to capture global dependency. Firstly, a U-shaped encoder-decoder structure based on UniFormer is designed, which can enhance the cooperation ability of local and global relations. Secondly, Swin spatial pyramid pooling module is introduced to compensate the influence of spatial resolution reduction in the encoder process and generate multi-scale representation. Multi-scale attention gate is introduced at the skip connection to suppress redundant features and enhance important features. Experiment results show that, compared with the other four methods, the proposed model achieves better results in Dice, loU and Recall on COVID-19-CT-Seg and CC-CCIII dataset, and achieves a more complete segmentation of the lesion area.