Search Results (104)

Background: Vaccinations are essential to protect travelers from infectious diseases, especially in high-risk destinations. However, awareness and adherence to vaccination recommendations vary, influenced by communication, personal beliefs, and behavior. Methods: A focus group was conducted in February 2025 at a local health authority in central Italy, specifically within its travel clinic, to explore travelers’ awareness, attitudes, and behaviors regarding vaccination. The discussion was analyzed using the “3Cs” Vaccine Hesitancy model. Participants were purposively selected to ensure diversity and representativeness. Discussions included past travel experiences, knowledge of required vaccines, motivations for immunization, and barriers to access. Results: Four key thematic areas emerged: socio-cultural/environmental factors, psychological/emotional influences, knowledge/information access, and general health perceptions. Communication gaps often weakened belief in vaccine efficacy and necessity. Cultural background, past experiences, and risk perception heavily influenced decisions. Discussion: Although vaccination is widely viewed as a protective measure, vaccine hesitancy persists due to misinformation and limited institutional trust. The COVID-19 pandemic intensified both awareness and skepticism. The 3Cs model clarified hesitancy levels and barriers, emphasizing the need for effective communication and trust-building. Conclusions: Enhancing access to accurate information, strengthening healthcare professionals’ communicative role, and reducing economic obstacles are crucial. Tailored awareness campaigns and integrated health policies are essential to increasing vaccine uptake, safeguarding traveler health, and limiting global disease spread. Patient or Public Contribution: Members of the public contributed to this study by participating in a focus group, where they shared their personal experiences, perceptions, and opinions regarding travel-related vaccinations. Their insights provided valuable qualitative data that helped inform the study’s findings. However, they were not involved in the study design, the analysis of the data, or the preparation of the manuscript. The role of participants was limited to the data collection phase of the study. Full article

Historic religious cities are living examples of cultural landscapes where spiritual traditions, heritage, and visitor experiences combine to demonstrate a timeless experience. It is very challenging to achieve balance among the demands of mass pilgrimage, heritage preservation, and urbanization. Govardhan, India is a Hindu religious town with historical significance. Millions of pilgrims travel to Govardhan every year to perform parikrama and take a holy dip in kunds. The quality of the visitor experience, spatial coherence, and heritage conservation are all at risk due to increasing urbanization and tourism. The study intends to create a paradigm for the sustainable management of religious heritage towns by evaluating the factors involving visitor perception, historical significance, and spatial visibility, employing a combination of computational methods and cognitive assessments. The study employed space syntax tools (visibility graph analysis and isovist area analysis) to quantify spatial significance (SS) and identify patterns of openness, congestion, and visibility along the parikrama route of Govardhan. By examining pilgrims’ cognitive surveys for openness, orientation, congestion, and spiritual impression, a cognitive index (CI) and heritage importance scores (HIS) have been developed. The computed spatial significance (SS) has been correlated with cognitive index (CI) and heritage importance (HIS) scores to create an experiential priority index (EPI). The study employs a mixed-method approach that incorporates heritage significance scoring, cognitive surveys, and spatial analytics, including methods such as the isovist area analysis and visibility graph analysis. In order to assess how spatial arrangement and intangible perceptions together influence visitor experience, these statistics are further combined using a composite experiential priority index (EPI). The findings show a strong correlation between spiritual orientation, visual connectivity, and spatial openness; locations such as ‘punchari ka lota temple’ and ‘kusum sarovar’ are high-priority nodes. In accordance with United Nation Sustainable Development Goals (SDGs) (11, 9, 12, 4.7, and 8.9), this research proposes a heritage impact assessment (HIA) framework that provides workable solutions for ecological restoration, heritage-sensitive zoning, sustainable pilgrimage management, and enhanced tourism. Full article

The awareness of tourism’s environmental impact has increased interest in sustainable alternatives such as green hotels, yet tourists often fail to translate pro-environmental attitudes into action, reflecting the attitude–behavior gap. This study extends the Theory of Planned Behavior (TPB) by incorporating Environmental Knowledge and Climate Change-Related Risk Perceptions (CC-RRPs) as background factors and testing their effects on Green Hotel Purchase Intentions (GHPIs) among Spanish travelers. Data from 1442 respondents were analyzed using covariance-based Structural Equation Modeling (SEM) with bootstrapped mediation testing. Results show that In-Group Norms are the strongest predictor of GHPIs, followed by Eco-Hotel Attitudes, while Perceived Behavioral Control (PBC) has a weaker but significant effect. Environmental Knowledge predicts all three mediators, and CC-RRPs predict Attitudes and Norms but not PBC. Crucially, both antecedents affect GHPIs only indirectly, supporting a mediation-based framework. These findings clarify the distinct roles of Environmental Knowledge as a cognitive antecedent and CC-RRPs as cognitive–affective evaluations that motivate attitudes and norms, while also highlighting the centrality of social influence in a Southern European context. Beyond theoretical contributions, the results underscore the importance of trust and authenticity: addressing greenwashing through transparent communication and credible certification frameworks is essential to ensure sustainable hospitality choices. Full article

Given that urban mobility arises from the interaction between social and environmental conditions, this study constructs a Bayesian network to represent these relationships in David, Panama, using 500 georeferenced household surveys that recorded variables related to demographics, travel behavior, infrastructure, mobility patterns and perceptions of risk, safety, and vulnerability. The Bayesian network was built and validated through a consensus-driven hybrid procedure combining structural learning and expert knowledge, resulting in a directed acyclic graph (DAG) with 127 nodes and 189 arcs; and conditional probability tables (CPTs) were learned from data. The topology of the network was analyzed with Louvain community detection, revealing eleven subsystems that group household economy and mode choice, hydrometeorological mobility barriers, congestion, public-transport quality, and safety in school travel. The inferences show gender-based differences in the risk of harassment on public transport, higher perceived vulnerability on longer trips, and elevated stress among middle-aged drivers. The model highlights potential priority interventions such as reinforcing public-transport safety, promoting self-contained trips, and encouraging short-distance active mobility, based on population perceptions. The resulting DAG functions as both an analytical and communication tool for urban management, is visually understandable to all stakeholders, and provides unprecedented evidence for Panama in a little-studied context. Full article

The COVID-19 pandemic disrupted tourism systems worldwide, particularly ecologically sensitive and tourism-dependent regions such as the Galapagos Islands. This study investigated the impact of the pandemic on profiles of tourists visiting Santa Cruz Island by comparing an analysis from 2019 to data we gathered in 2021. Using survey-based data and cluster analysis, we identified significant shifts in tourist origin, travel modalities, and expenditure patterns. Results showed a marked increase in domestic tourism, with Ecuadorians becoming the dominant visitor group during the pandemic, primarily favoring land-based tourism and shorter stays. In contrast, international tourists remained present in niche, higher-spending segments associated with cruise-based and multi-island itineraries. These findings highlight a temporary yet meaningful transformation in the tourism dynamic, driven by changes in risk perception, economic factors, and policy restrictions. The emergence of these segments underscores the need for adaptive destination management strategies that align with sustainability goals, conservation priorities, and socioeconomic resilience. We also demonstrated the value of structured surveys as a cost-effective tool for evidence-based decision-making in resource-constrained settings. Full article

Immersive technologies (IMTs) have significantly impacted the tourism sector by offering experiences that enhance engagement with destinations. Although previous research confirms that IMT affects travelers’ behavioral intentions, there is a lack of studies specifically focusing on the post-experience context of agritourism and the factors contributing to technological resistance. This study introduces a conceptual model that combines the Diffusion of Innovation framework, the technology acceptance model, and the psychological factors related to innovation resistance to examine the decision-making processes of IMT users in the post-experience context of agritourism. The research model is evaluated through partial least squares structural equation modeling (PLS-SEM) techniques involving 400 users who engaged with IMT for a duration not exceeding 3 months. The findings indicate that the amount of storytelling content, which enhances engagement in agritourism, significantly affects users’ perceptions of IMT and their intentions to revisit and continue using IMT. Additionally, factors related to compatibility, along with privacy and security risks, influence the reluctance or readiness to adopt IMT and the decision to revisit a destination. These findings contribute to the understanding necessary to develop content and apply IMT in the agritourism sector to promote long-term sustainability. Full article

Psychological theory often reminds us that the best predictor of an individual’s future behavior is their prior behavior. Then, the pandemic happened in 2020, and at least for travel behavior and tourism consumption, everything seemed to change, stressing the importance of re-evaluating predictors. In the present study, we aimed to compare the history of travel behavior and tourism consumption with the predicted travel behavior of students coming from Generation Z, along with intrapersonal characteristics influencing risk perception, like psychological resilience and perceived invulnerability. The findings revealed that the pandemic changed the attitude towards travel for tourism-related purposes in both positive and negative directions, restructuring the attitude towards travel for the majority and also revealing many new prospective travelers. Psychological resilience was a significant variable that differentiated the respondents who changed their attitude towards tourism from those who remained consistent in their non-travel behavior and students who planned to travel more during the pandemic. Although subsamples also differed in the mean value of perceived invulnerability, the variable did not prove statistically significant. Almost 50% of the students predicting that they will travel abroad for non-tourism-related purposes in the future year were students who had not traveled abroad before the pandemic. Full article

In an era of increasing global uncertainty, tourism destinations face significant challenges due to political instability and social unrest, which shape travelers’ perceptions and decision making. This study examines the relationship between perceived risk, resilience, and destination choice, focusing on the extent to which political and social conditions influence travel intentions. Using the social amplification of risk framework (SARF) and a quantitative survey, this research identifies key determinants of tourism resilience and risk perception management. Our findings indicate that political instability, safety concerns, and negative media coverage deter travelers, while effective crisis communication, strong governance, and high-quality public services can enhance a destination’s appeal. Based on these findings, the study recommends that destination marketers and tourism policymakers invest in targeted safety communication, service quality improvements, and strategies that address the specific concerns of more risk-sensitive demographics, such as women. The study offers strategic insights for destination marketers, tourism policymakers, and hospitality stakeholders on how to mitigate perceived risks and foster resilience in tourism-dependent economies. Future research could explore cross-cultural traveler behavior and incorporate perspectives from tourism professionals to further inform resilience strategies. By addressing these challenges, destinations can develop sustainable strategies to navigate crises and maintain competitiveness in an unpredictable global landscape. Full article

Risk perception and travel behavior under extreme weather have attracted increasing scholarly attention due to their implications for sustainable transport. This study investigates how perceived risks influence commuters’ travel mode choices during heavy rainfall in Qingdao, China, using data from a pilot survey and a stated choice experiment. A Range-varying Generalized Weberian Regret–Rejoice Model (RGWRRM) is developed to capture nonlinear perceptual sensitivities and decision-making under uncertainty. Results indicate that safety and reliability risks significantly shape travel behavior, with commuters showing heightened loss aversion and increased willingness to pay for safer and more dependable modes. The RGWRRM outperforms traditional utility- and regret-based models, offering deeper behavioral insights. By elucidating the mechanisms linking risk perception to mode shifts, this study contributes to the design of resilient and sustainable urban transport strategies in the face of climate-induced disruptions. Full article

The COVID-19 pandemic altered the holiday plans of many people. Whether it was due to travel bans or the fear of contracting the infection, people modified, among other aspects, their chosen destination, travel transport, accommodations, length of stay, and activities to be undertaken during the stay. In this context, we aim to disentangle the effect of these changes on tourist satisfaction. Previous research on the effects of COVID-19 on the tourism sector has studied the shrinkage of tourism demand, changes in tourist behaviour and adaptation processes on the supply side. Nonetheless, few works have analysed changes in tourists’ plans. Two main hypotheses have been put forward. First, tourists might be dissatisfied given that they could not attain their holiday expectations. In contrast, the second hypothesis suggests that those individuals who changed their holiday plans might be more satisfied because they diminished their perceived risk of contagion. We have used data drawn from a survey of tourists (N = 2009) who visited Costa Daurada, a very popular Mediterranean coastal destination just after the end of the Spanish lockdown. Then, statistically significant differences in satisfaction levels between the groups that altered their plans and those who did not are assessed by means of Kruskal–Wallis and Wilcoxon Rank Sum tests. Results signal that tourists were not more dissatisfied when they had modified their initial holiday plans. Indeed, the overall satisfaction of those visitors who switched their initial destination to travel to Costa Daurada was slightly lower, and the difference was significant, compared to the ones who were planning to travel there from the very beginning. Satisfaction was not significantly lower for those who changed their holiday plans in the case of the rest of the items analysed (transportation, length of stay, accommodation, and overall activities). On the contrary, in the case of activities, changes apparently contributed to mitigate the risk perception and led to a better tourist experience. Results also suggest that tourists were willing to adapt to a new situation in order not to renounce their holidays. In terms of implications for destination management and stakeholders, the main conclusion is that continuous cooperation and mutual trust are key to adapting to turbulent environments in which risk perception becomes central. Full article

Micro-mobility, which includes small, lightweight vehicles such as bicycles, electric scooters, and electric bikes, has emerged as a key component of modern urban transportation over the last decade. ESs have transformed how people navigate cities by offering an eco-friendly alternative to traditional transport, improving last-mile connectivity, and reducing traffic congestion. However, they also present challenges related to safety, infrastructure, and regulation. The rising crash rates involving electric scooters pose a significant public safety concern, driven by their novelty and limited research on associated risks. This study investigates factors influencing the adoption and use of electric scooter-sharing services, emphasizing risk perception, cultural norms, technological familiarity, and physical infrastructure. It also examines travel behaviors, common risks, and barriers to adoption. Using data from 254 Israeli participants, including 50 electric scooter users, the research highlights that 48% of users experienced near-miss incidents, and 38% used scooters on vehicular roads. The primary risk was identified as dangerous driver behavior on these roads, while the key barrier to adoption was a high perception of risk or low sense of safety. A structural equation model revealed that risk perception is influenced by gender-related attitudes and subjective norms, which indirectly diminish positive attitudes toward electric scooters and willingness to share and use them. The findings emphasize the importance of a safe physical infrastructure in fostering positive attitudes and promoting electric scooter use. This research provides valuable insights into mitigating risks and improving the adoption of electric scooters as a sustainable micro-mobility option. Full article

With consumers becoming increasingly aware of the effects of human activity on the environment, tourism products and destinations are increasingly marketed as sustainable and socially responsible. As most sustainable practices lead to additional costs, and tourists’ decisions tend to be price sensitive, achieving sustainability goals necessarily involves understanding how much more tourists are willing to pay for sustainable practices as well as the antecedents of such willingness to pay (WTP). The present study aims to advance knowledge on the antecedents of WTP for sustainable destinations (WTP-4-SD), for which it builds on previous studies employing the Theory of Planned Behavior (TPB) and the New Environmental Paradigm (NEP). In this context, a theoretical model involving ecotourism attitudes, environmental beliefs, climate change-related risk perceptions (CC-RRP), environmental concern during trip (ECDT), and sustainable consumption behavior (SCB) as antecedents of WTP-4-SD is proposed. The model was tested based on data collected through an online survey from a sample of 847 Spanish and Portuguese Gen Z travelers and analyzed through Structural Equations Modeling (SEM). The findings suggest that a cohesive set of attitudes and beliefs regarding the man–nature relationship, the risks of climate change, and the role of tourism—which have been labeled “No Planet-B Attitudes”—is the main driver of WTP-4-SD. The effects of SCB and ECDT on WTP-4-SD have also been confirmed—although the latter is quite small—as well as those of No Planet-B Attitudes on both. The findings bring about insights into young travelers’ attitudes towards nature and the role of tourism in sustainable development, as well as useful implications for sustainable tourism planning and marketing. Full article

Construction workers are often subjected to strenuous manual labor, poor working conditions, and prolonged separation from family, leading to psychological symptoms such as stress, depression, and anxiety. These psychological factors, combined with safety climate elements like risk perception and safety attitude, significantly influence workers’ safety behaviors, including risk-taking, safety compliance, and safety participation. To address these issues, this study investigates the interplay between psychological symptoms, safety climate, and safety behaviors among construction workers in Mainland China. Data were collected through a survey of 160 construction workers, with results analyzed using correlation and regression techniques. The findings reveal that: (1) risky behavior is primarily driven by anxiety and risk perception; (2) safety participation is influenced by safety attitudes and levels of depression; and (3) safety compliance is affected by risk perception, safety attitude, stress, and depression. Interestingly, an inverse relationship is observed between depression and both risky behavior and safety compliance. These results underscore the importance of addressing psychological well-being to improve safety outcomes. Practical implications include providing psychological counseling, stress management training, and improving social connections for workers, such as facilitating regular video calls with family members or offering travel reimbursements. Full article

This study used ANCOVA models to investigate how pandemic characteristics—spreading speed, severity, and vaccination requirements—affect travel intentions. The results reveal that these factors explain 31.7% of the variance in travel decisions, with disease-spreading speed and severity being the most significant determinants. While vaccination requirements are relevant, they play a secondary role compared to the immediate threat of disease characteristics. The interaction effects between these factors further demonstrate their combined impact on travel reluctance. Demographic variables, such as gender and the presence of children, also influence decisions in specific contexts. These findings contribute to the understanding of risk perception during health crises, reinforcing the role of perceived severity in shaping cautious travel behavior. Practical implications for the tourism industry include the need for transparent communication, tailored health protocols, and demographic-specific marketing strategies. Future research should explore broader factors and adopt longitudinal approaches to capture evolving travel intentions during pandemics. Full article

This research, conducted as part of the European project PA-MAP (Participatory Approach to Monitoring Air Quality in Urban Environments), investigates citizens’ perceptions of air pollution in two European cities: Turin (Italy) and Dublin (Ireland). We systematically collected social data through semi-structured surveys distributed via online platforms. Our aim was to gather comprehensive information on the perception of pollution sources and the effectiveness of control systems. We examined citizens’ habits and their suggestions to improve air quality. The results revealed the following: (1) In Turin, the perception of air pollution significantly influences individuals’ self-assessments of health. Consequently, increased vigilance is required to mitigate environmental health risks and to disseminate information on air quality and effective practices for reducing air pollution. (2) The use of sustainable transportation in Turin is hindered due to the inadequate maintenance of cycling infrastructure. Citizens prefer to use cars or trains, which facilitate rapid travel. (3) In Dublin, greater sensitivity to the problem of air pollution has emerged, and the use of sustainable means of transport is facilitated via ad hoc infrastructure. These results provide empirical evidence to policymakers to support the promotion of concrete local actions through which to improve air quality. Full article