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The purpose of this paper is to adopt the uses and gratifications theory to tourism.

The present study examines the antecedents of learned helplessness, i.e. intrinsic and environmental constraints and consequences, i.e. intention to travel and expectation in the context of people with disability (PwD) tourism context by applying the “Theory of Learned Helplessness”.

The survey method was used to gather data from 209 physically disabled people who had visited/traveled to any tourist destination in the past twelve months. Structural equation modeling technique was used to analyze data.

The findings reveal that intrinsic and environmental constraints positively influence learned helplessness. Consequently, learned helplessness negatively effects intention to travel and positively affects expectation of PWD tourist' toward a travel destination. Furthermore, learned helplessness contributed as a mediator between intrinsic constraints and intention to travel toward a tourist destination.

Even though the body of literature on associations studied pertaining the conceptual lens of learned helplessness is widely recognized, there is dearth of literature investigating the connections between travel constraints, learned helplessness, PwDs intention and their expectation in travel destination context.

The ongoing COVID-19 pandemic highlights the importance of destination marketing and media profiling to re-engage international tourists. However, potential crisis-induced nation brand (NB) deficits must be addressed to re-ignite tourism demand. The study examines the possible intervening effect of the contemporary NB in the international destination marketing and media-travel motives nexus.

A deductive quantitative study was undertaken with an online Amazon Mechanical Turk sample of n = 454 respondents. Hypotheses were tested using PROCESS Macro, Model 4.

The results show that the NB [people and negative events] had a practically significant partial mediating effect in the destination marketing – nature-cultural oriented travel motivation nexus.

New insights are provided via a practical model which facilitates the measurement of potential nuances in the influence of destination marketing and media profiling on leisure tourists' travel motives amid crises. The intervening effect implies that a better understanding of the NB as an indirect antecedent to travel motivation may result in more effective crisis communications and tourism recovery-oriented marketing.

The study is amongst the first to extend marketing and behavioural theory to explore the interplay between the marketing and media profile, a nation's brand and tourists' travel behaviour amid a crisis. The study addresses a discernible dearth of knowledge related to the influence of the NB on tourist behaviour from an emerging market perspective.

To examine demographic factors and travel motivations among leisure tourists in Tanzania. Specifically by examining the influence of demographic factors on travel motivation among local and international leisure tourists in Tanzania.

Approach is quantitative and applied descriptive statistics, independent t-test and ANOVA.

The findings showed that age, gender and family size as demographic factors significantly influenced travel motivation among local and international leisure tourists.

Future studies to consider different approaches including collection of data during the peak season, use qualitative method and conduct studies in other parts of the country to explore demographic factors and travel motivations of tourists.

To assist tourism stakeholders in their design of promotional tools to market tourism products/services to different tourists as opposed to homogeneous marketing campaigns.

Examined the influence of demographic factors and travel motivation among local and international leisure tourists in the context of Tanzania.

Daily commuting trips of higher education (HE) students account for a large proportion of the carbon footprint of a HE institution. Considerations of students underlying their choice of travel mode and their decision to make the trip to campus or to study online are explored as a necessary first step for finding an optimal balance between online and on-campus learning from both a sustainability and an educational perspective.

Focus group conversations were held with student groups from different study programmes of a university of applied sciences in the Netherlands.

Dutch students’ travel mode choices seem to depend on measures regulating travel demand such as a free public transport card and high parking costs. The findings indicate that students make reasoned choices about making a trip to campus. These choices depend on considerations about their schedule, type, lecturer and content of a course, social norms and their own perceived behavioural control. Alternative online options can provide students with more flexibility to make choices adapted to their needs.

While these findings are useful for sustainable and educational reasons, they also seem helpful in times of COVID-19 which calls for a re-design of curricula to allow for blended forms of online and on-campus learning.

To the best of the authors’ knowledge, this paper is one of the first studies looking at students’ considerations when deciding whether to travel to campus to learn or stay at home learning online.

Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Different machine learning methods have been used in travel time prediction, however, such machine learning methods practically face the problem of overfitting. Tree-based ensembles have been applied in various prediction fields, and such approaches usually produce high prediction accuracy by aggregating and averaging individual decision trees. The inherent advantages of these approaches not only get better prediction results but also have a good bias-variance trade-off which can help to avoid overfitting. However, the reality is that the application of tree-based integration algorithms in traffic prediction is still limited. This study aims to improve the accuracy and interpretability of the models by using random forest (RF) to analyze and model the travel time on freeways.

As the traffic conditions often greatly change, the prediction results are often unsatisfactory. To improve the accuracy of short-term travel time prediction in the freeway network, a practically feasible and computationally efficient RF prediction method for real-world freeways by using probe traffic data was generated. In addition, the variables’ relative importance was ranked, which provides an investigation platform to gain a better understanding of how different contributing factors might affect travel time on freeways.

The parameters of the RF model were estimated by using the training sample set. After the parameter tuning process was completed, the proposed RF model was developed. The features’ relative importance showed that the variables (travel time 15 min before) and time of day (TOD) contribute the most to the predicted travel time result. The model performance was also evaluated and compared against the extreme gradient boosting method and the results indicated that the RF always produces more accurate travel time predictions.

This research developed an RF method to predict the freeway travel time by using the probe vehicle-based traffic data and weather data. Detailed information about the input variables and data pre-processing were presented. To measure the effectiveness of proposed travel time prediction algorithms, the mean absolute percentage errors were computed for different observation segments combined with different prediction horizons ranging from 15 to 60 min.

The purpose of this paper is to position experience as an immersive process through the documentation of student reflections of place involving the intricacies of embodied learning and experiential mobilities. This study is framed through situational positionalities and placed movements of the tourist, the non-tourist and more specifically, students of Generation Z engaged in educational experiences.

This paper explores a student fieldtrip (on the island of Corfu, Greece) as a medium of expression for situated learning, involving a case study of tourism students learning critical tourism through sensual and haptic dimensions of reflection. The students “experienced” Corfu by participating in an international tourism conference, stayed on a yacht, went on various tours, met with tourism industry representatives and reflected their experiences in a collaborative photo story book.

Generation Z seemed to have the ability to discern the environment and decipher the role tourism plays. Their critical impressions of place in terms of infrastructure, sustainability, beauty, etc., force a rethink of traditional tourist typologies. It is necessary to reconsider the categorizations of tourism, challenging the need for tourism marketers to encapsulate experiences as both a single, yet multi-varied segment. What remains crucial is a deeper comprehension of this generation through their consumption patterns in relation to the various stakeholders of tourism.

This paper documents an engagement of self through experience as part of the “experience.” Hence, the transformative experiences of place reflections as opposed to linear post-trip representations of experience may be insightful for tourism practitioners dealing with a tourism of the future.

This study aimed to determine the motivations of a select group of South Africans in terms of their potential engagement with cultural tourism; more specifically, the study set out to show whether these motivations influence the cultural activities that the tourists want to participate in and whether their interest in specific cultural activities determines their destination choices. Furthermore, the mediating role of activities in the relationship between cultural motivations and destination choice was also assessed.

An online panel survey collected responses from 1,530 potential cultural tourists across South Africa. Hypotheses were tested, using structural equation modelling.

The results show that tourists' motivations for cultural tourism influence their likelihood of participating in specific cultural activities. Cultural tourism is shown to be influenced by more than learning and includes entertainment, relaxation, novelty and escape dimensions. There also seems to be a difference in the activities engaged in by destination type. For example, tourists likely to take part in indigenous cultural tourism activities are more likely to do so at hedonic destinations.

This paper contributes to the understanding of cultural tourism activities, aiding destinations in attracting cultural tourists. Destinations need to develop activities that match visitor motivations, increase satisfaction and encourage visitors to return.

The paper increases the understanding of cultural tourism in South Africa and underlines the importance of communities in providing distinctive tourism activities. The study also has an important social dimension, highlighting the role of social status in cultural tourism consumption and destination selection.

The purpose of the study is to compare features of career development and fandom in frequent festival attendance in the context of Finnish music festivals.

The study uses a mixed methods research approach and employs two theoretical frameworks: theories of career development and fandom.

In frequent festival attendance, both festival career development and festival fandom are most clearly present in motivation development and social dimensions.

Strategically, frequent festivalgoers should be considered as crucial stakeholders, who might mobilize the co-creation of a sense of community or festival brand.

Music-related fandom has been previously investigated in relation to artists and specific musical genres, but not so much in relation to music festivals in general. Career studies, on the other hand, concentrate heavily on sports events. There is a scarcity of research scrutinizing both career development and fandom in the festival context within the same study, and festival attendance as part of music tourism is an under-researched area.

The overall purpose of this study is to utilize the Theory of Planned Behavior (TPB) in combination with four dark tourism constructs (dark experience, engaging entertainment, unique learning experience, and casual interest) to gain a better understanding of behaviors and intentions of tourists who have visited or plan to visit a dark tourism location.

A total of 1,068 useable questionnaires was collected via Qualtrics Panels for analysis purposes. Confirmatory Factor Analysis (CFA) was used to verify satisfactory reliability and validity regarding the measurement of model fit. With adequate model fit, structural equation modeling was employed to determine positive and negative relationships between TPB and dark tourism constructs. In all, 11 hypotheses statements were tested within this study.

Results of this study indicate that tourists are curious, interested, and intrigued by dark experiences with paranormal activity, resulting in travel choices made for themselves based on personal beliefs and preferences, with minimal outside influence from others. It was determined that dark experience was the most influential of the dark tourism constructs tested in relationship to attitudes and subjective norm.

The data collected for this study were collected using Qualtrics Panels with self-reporting participants. The actual destination visited by survey participants was also not factored into the results of this research study.

This study provides a new theoretical research model that merges TPB and dark tourism constructs and established that there is a relationship between TPB constructs and dark tourism.