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This study aims to explore the connection between demographic traits and the choice of attraction patterns among international repeat tourists.

The study employed a questionnaire survey to collect data from 1550 international repeat tourists who visited Tanzania between November 2022 and July 2023. Convenient sampling was employed as tourists were selected from the three international airports of Tanzania, namely Kilimanjaro International Airport, Julius Nyerere International Airport, and Abeid Aman Karume International Airport. A multinomial logistic regression model was used to examine the impact of socio-demographic characteristics on the selection of attraction patterns among international repeat tourists.

The study revealed that demographic factors, including age, marital status, income level, occupation, and education level, exhibit statistically significant correlations with preferences for distinct attraction patterns. This significance was established through a p-value of less than 0.05 for all the aforementioned variables.

This study is primarily focused on international repeat tourists, thereby limiting insights into the preferences of domestic tourists. To better inform strategies aimed at attracting a larger domestic tourist base, future research may prioritize the investigation of choice of attractions patterns among domestic tourists in relation to their demographic characteristics.

This study contributes to the nuanced understanding of international tourist behavior by unraveling the extent to which demographic traits impact tourists’ choices of attraction patterns, thereby providing insights crucial for effective marketing strategies, improved visitor experiences, and sustainable tourism development strategies.

This study aims to investigate the advancement of place attachment within the bicycle tourism context. Specifically, this study seeks to ascertain whether the four attributes of bicycle tourism (tourism attractions, accessibility, amenities and complementary services) and enduring involvement can serve as predictors of tourists’ place attachment. Also, the research endeavors to examine the positive effects generated by the four attributes of bicycle tourism on enduring involvement. Additionally, the mediating role that enduring involvement plays in attribute–place attachment relationships will be clarified.

The final 547 samples are collected from five WeChat cycling groups in Shanghai, and the partial least squares structural equation modeling approach is used to analyze the data.

The results show that each of the four attributes has a positive impact on place attachment. Moreover, tourism attractions, accessibility and amenities can be the drivers of enduring involvement. Enduring involvement mediates the tourism attractions–place attachment relationship, the accessibility–place attachment relationship, as well as the amenities–place attachment relationship.

This paper, to the best of the author’s knowledge, pioneeringly introduces the concept of enduring involvement and place attachment into bicycle tourism research, and the findings contribute to providing practical implications for destination managers and government policymakers.

This is innovative work with a comprehensive and creative research framework for place attachment.

While travelling, tourists like to use mobile technology to share their travel experiences. This study aims to understand how the social value gained by tourists from sharing a travel experience with mobile technology affects their satisfaction with the travel experience through onsite mobile sharing behaviour.

A second-order hierarchical model is constructed to examine the moderated mediating role of onsite mobile sharing behaviour in improving tourists’ travel satisfaction. Through systematic sampling, 304 responses were collected at ten attraction points in Guangzhou and Shenzhen, China.

The results show that, compared with self-centred values (self-presentation and self-identification), other-centred values (building social connection and reciprocity) contribute more to forming social values of sharing. In addition, onsite mobile sharing behaviour partially mediates and moderates the effect of social values on travel satisfaction.

This study applies the social capital theory to identify the value gained by sharing travel experiences and empirically evaluates the impact of these values on the overall value of sharing travel experiences. This study also contributes to tourism research by examining the moderated mediating role of onsite mobile sharing behaviour in improving travel satisfaction. This study helps destination marketing to make strategies to motivate tourists to use mobile technology to share their travel experiences while travelling.

This study's goal is to look at how visitors' experiences affect the indirect links between the destination's extrinsic motivations (DEMs) and tourists' intrinsic motives (TIMs), on the one hand, and the perceived destination image (PDI), on the other.

Using structural equation modeling, 613 tourists from different nationalities were used to test the five hypotheses.

The research results revealed that second-order destinations' extrinsic motivations directly impact TIM and PDI. It also showed that tourists' experiences as moderators reduce the direct effect of DEM on PDI for first-time visitors compared to repeat visitors. Moreover, it increases the direct effect of TIM on PDI for repeated visitors.

Destination managers can fix the problems that hurt their reputations and images by hiring police officers in tourist areas and cleaning tourist places. In the same way, destination managers and travel agencies should use AI tools to create social media marketing campaigns focusing on natural and historical monuments. Also, the marketing plans should stress the value for money (for example, lodging, food and attractions’ cost). Finally, destination marketers can make programs for repeat visitors, focusing on DEM and TIM.

This article tries to fill a gap in the research on PDI formation in emerging markets as a modern technique in destination marketing by using the push-intrinsic and pull-extrinsic theories. It also looks at how the tourists' experiences moderate the direct link between DEM, TIM and PDI. Lastly, this study examines how TIM affects a destination's image in emerging markets.

The tourism industry is seeing unprecedented growth due to the convergence of the internet and growing travel trends. E-tourism digitises the tourism business, including processes, value chains, infrastructure, services and auxiliary industries, to maximise efficiency and effectiveness. It is in response to the globalisation of the tourism sector, which has spurred the introduction of information and communications technologies (ICTs) during the past four decades. ICT can boost travellers' satisfaction by providing pre-trip information about tourism attractions and allowing them to contact vendors directly, obtain accurate information and get the lowest price.

ICT has made the global tourism sector more competitive by providing pre-trip information about tourism attractions, allowing tourists to contact vendors directly, obtain accurate information and get the lowest price. Search engines, transport capacity and network speeds have increased the number of international travellers who use technology to organise and document their trips. E-tourism reduces seasonality, improves consumer communication and boosts reservations and sales. ICT also affects customer behaviour management and future marketing models and supports tourism industry globalisation by providing practical tools to tourism agents to develop and disseminate their offers globally. Strategic behaviours significantly impact tourism, as eliminating intermediaries shortens the distance between client and provider. ICT is a new way to boost tourism demand, which attracts more tourists and generates more revenue while improving the sector.

In conventional discourses on sustainability, the relationship between economics and ecology is central. A number of nations' economies benefited from responsible tourism following these conferences. By supporting local businesses and attractions, ‘green’ tourism helps communities achieve their natural and cultural objectives while also preserving their limited resources. In terms of sustainable travel, Kerala was an early leader. This study looks at RT initiatives in various stages, with an emphasis on green tourism's sustainable responsible travel practises. The green economic development bottom line method was used for this descriptive research. These results highlight the difficulties inherent with RT implementation. Our review of secondary data shows that the first rollout of RT was unsuccessful, but that subsequent stages showed great promise. In order to create sustainable tourism on a worldwide scale, the study also highlights the necessity for more research in other culturally distant places.

This study aims to look into and evaluate a sustainability-based destination loyalty model that takes into account how people perceive the urban destination in alignment with represented concept of sustainable tourism.

Using a convenience sampling technique, 414 questionnaires were sent out to nonresident tourists (outside Bandung city) in Indonesia using online survey platforms and analyzed with the structural equation model method.

Socioeconomic image, cultural image and environmental image all have a beneficial effect on tourists’ satisfaction levels. Furthermore, tourist satisfaction has a direct impact on destination loyalty. When it comes to tourists’ loyalty to a particular destination, only the degree to which they were satisfied moderated the influence of socioeconomic, cultural and environmental images.

The research sample exclusively comprised tourists hailing from Indonesia, a developing nation. Subsequent studies may evaluate tourists from various nations to obtain a more precise comprehension of the tourist population.

Authorities and destination organizations should periodically examine tourists to get a feel for how they feel about a destination’s sustainability, so they can adjust policies as needed to keep tourism there viable over the long term.

This study aims to fill a significant gap in the existing literature by examining the impact of sustainable practices and initiatives on tourists’ satisfaction to an urban destination. The examination of the relationship between efforts to promote sustainability and destination loyalty can offer valuable insights for destination managers and policymakers who aim to improve long-term tourist relationships.

There is an ongoing discussion on tools that can lead to sustainable tourism, as well as attempts to implement them. In the selection of tools, the attitudes of residents – local stakeholders and their degree of acceptance of such tools should be analysed and taken into account. Some cause conflicts, and hence, the purpose of this study is the comparative analysis of three cities (Prague, Krakow and Braga).

Analysis of the basic types of conflicts was conducted using the division proposed by Moore. The research was conducted among residents – experts representing the tourism sector. Based on the literature review, three hypotheses were formulated. Statistical tests were used to analyse the results.

The results showed a strong impact of the conflict of information and the interests of those dependent on the degree of development of the city’s tourist function. It was established that in the process of achieving sustainable tourism, to minimize conflicts, the following are necessary: paying attention to communication and the involvement of local communities, creating attractions that benefit both residents and visitors, measuring and monitoring tourist traffic, supporting initiatives for new tourist offers and initiating discussions on development problems, and setting common goals for all residents.

The research was conducted during the pandemic and is based on the opinions of experts indicated by the city authorities. While the attitudes of the inhabitants towards the development of tourism were recognized in earlier studies, the awareness of tourists and their readiness to accept limitations related to respecting the needs of the inhabitants were not examined. This aspect may be an interesting direction for further research. A limitation of this research is the small scope of the study, caused both by the restrictions in force during the research period (related to the COVID-19 pandemic) and also by the inability to conduct in-depth interviews with experts. It should also be noted that among the experts participating in the research were tourist entrepreneurs directly interested in rebuilding tourism after the pandemic. Due to this, their opinions may have been biased, but there is no way to prove or disprove this. However, the answers gathered were considered collectively; therefore, the opinions obtained were considered to be objective. Attempts to balance tourism so far have focused mainly on limiting the access of tourists to attractions and tourist areas and introducing (or increasing) admission fees. It is still too early to assess the effectiveness of such tools, hence the lack of scientific analyses of implemented tourism policies.

The role and tasks of institutions managing tourism in cities will probably also change, in particular, so-called destination management organizations. The current declarations indicate the need to respect inhabitants and take measures to limit conflicts arising in the context of the development of the tourist function. However, there is no empirical evidence of the positive results achieved.

The results will allow the implementation of tourism balancing tools that are accepted by the local community.

The selection of the historical cities and the posing of a research problem based on the same tool allowed for comparative inference. The results can help shape tourism management in cities and the choice of tools for their sustainable development.

关于实现可持续旅游的工具以及运用这些工具的尝试始终是学界热议的话题。 在选择工具时, 应当分析和考虑居民和当地利益相关者的态度以及他们对工具的接受程度, 因为有些会引起冲突。基于此, 本文的目的是对三个城市（布拉格、克拉科夫、布拉加）的居民-当地利益相关者冲突进行比较分析。

本文采用摩尔提出的划分方法对冲突的基本类型进行了分析。 该研究是在居民——代表旅游部门的专家中进行的。文章基于文献综述提出了三个假设, 并 使用统计测试来分析结果。

结果表明, 信息冲突和利益冲突的强烈影响取决于城市旅游功能的发展程度。在实现可持续旅游的过程中, 为了尽量减少冲突, 有必要采取以下措施：注重当地社区的参与和沟通, 创造有利于居民和游客双方的景点, 测量和监测旅游流量, 支持旅游产品创新并发起针对发展问题的讨论, 同时为所有居民设定共同目标。

本文选择历史名城作为案例地, 加之基于同一工具提出的研究问题, 使得本研究具备用于比较推断的条件。 研究结果有助于塑造城市的旅游管理以及引导可持续发展工具的选择。

Hay un debate en curso sobre las herramientas que pueden conducir al turismo sostenible, así como los intentos de implementarlas. En la selección de herramientas, se deben analizar y tener en cuenta las actitudes de los residentes – agentes interesados locales y su grado de aceptación de dichas herramientas. Algunas provocan conflictos, de ahí que el objetivo de este artículo sea el análisis comparativo de tres ciudades (Praga, Cracovia, Braga).

El análisis de los tipos básicos de conflictos se realizó utilizando la división propuesta por Moore. La investigación se llevó a cabo entre residentes, expertos que representan el sector turístico. A partir de la revisión de la literatura se formularon tres hipótesis. Se utilizaron pruebas estadísticas para analizar los resultados.

Los resultados mostraron un fuerte impacto del conflicto de información y los intereses de quienes dependen del grado de desarrollo de la función turística de la ciudad. Se estableció que en el proceso de lograr un turismo sostenible, para minimizar los conflictos es necesario: prestar atención a la comunicación y a la implicación de las comunidades locales, crear atractivos que beneficien tanto a los residentes como a los visitantes, medir y monitorear el tráfico turístico, apoyar iniciativas de nuevas ofertas turísticas e iniciar debates sobre los problemas de desarrollo, y establecer objetivos comunes para todos los residentes.

La selección de las ciudades históricas y el planteamiento de un problema de investigación basado en la misma herramienta permitieron realizar una inferencia comparativa. Los resultados pueden ayudar a configurar la gestión del turismo en las ciudades y la elección de herramientas para su desarrollo sostenible.

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.

Incorporating dynamic spatial effects exhibits considerable potential in improving the accuracy of forecasting tourism demands. This study aims to propose an innovative deep learning model for capturing dynamic spatial effects.

A novel deep learning model founded on the transformer architecture, called the spatiotemporal transformer network, is presented. This model has three components: the temporal transformer, spatial transformer and spatiotemporal fusion modules. The dynamic temporal dependencies of each attraction are extracted efficiently by the temporal transformer module. The dynamic spatial correlations between attractions are extracted efficiently by the spatial transformer module. The extracted dynamic temporal and spatial features are fused in a learnable manner in the spatiotemporal fusion module. Convolutional operations are implemented to generate the final forecasts.

The results indicate that the proposed model performs better in forecasting accuracy than some popular benchmark models, demonstrating its significant forecasting performance. Incorporating dynamic spatiotemporal features is an effective strategy for improving forecasting. It can provide an important reference to related studies.

The proposed model leverages high-frequency data to achieve accurate predictions at the micro level by incorporating dynamic spatial effects. Destination managers should fully consider the dynamic spatial effects of attractions when planning and marketing to promote tourism resources.

This study incorporates dynamic spatial effects into tourism demand forecasting models by using a transformer neural network. It advances the development of methodologies in related fields.

纳入动态空间效应在提高旅游需求预测的准确性方面具有相当大的潜力。本研究提出了一种捕捉动态空间效应的创新型深度学习模型。

本研究提出了一种基于变压器架构的新型深度学习模型, 称为时空变压器网络。该模型由三个部分组成：时空转换器、空间转换器和时空融合模块。时空转换器模块可有效提取每个景点的动态时间依赖关系。空间转换器模块可有效提取景点之间的动态空间相关性。提取的动态时间和空间特征在时空融合模块中以可学习的方式进行融合。通过卷积运算生成最终预测结果。

结果表明, 与一些流行的基准模型相比, 所提出的模型在预测准确性方面表现更好, 证明了其显著的预测性能。纳入动态时空特征是改进预测的有效策略。它可为相关研究提供重要参考。

所提出的模型利用高频数据, 通过纳入动态空间效应, 在微观层面上实现了准确预测。旅游目的地管理者在规划和营销推广旅游资源时, 应充分考虑景点的动态空间效应。

本研究通过使用变压器神经网络, 将动态空间效应纳入旅游需求预测模型。它推动了相关领域方法论的发展。

La incorporación de efectos espaciales dinámicos ofrece un considerable potencial para mejorar la precisión de la previsión de la demanda turística. Este estudio propone un modelo innovador de aprendizaje profundo para capturar los efectos espaciales dinámicos.

Se presenta un novedoso modelo de aprendizaje profundo basado en la arquitectura transformadora, denominado red de transformador espaciotemporal. Este modelo tiene tres componentes: el transformador temporal, el transformador espacial y los módulos de fusión espaciotemporal. El módulo transformador temporal extrae de manera eficiente las dependencias temporales dinámicas de cada atracción. El módulo transformador espacial extrae eficientemente las correlaciones espaciales dinámicas entre las atracciones. Las características dinámicas temporales y espaciales extraídas se fusionan de manera que se puede aprender en el módulo de fusión espaciotemporal. Se aplican operaciones convolucionales para generar las previsiones finales.

Los resultados indican que el modelo propuesto obtiene mejores resultados en la precisión de las previsiones que algunos modelos de referencia conocidos, lo que demuestra su importante capacidad de previsión. La incorporación de características espaciotemporales dinámicas supone una estrategia eficaz para mejorar las previsiones. Esto puede proporcionar una referencia importante para estudios afines.

El modelo propuesto aprovecha los datos de alta frecuencia para lograr predicciones precisas a nivel micro incorporando efectos espaciales dinámicos. Los gestores de destinos deberían tener plenamente en cuenta los efectos espaciales dinámicos de las atracciones en la planificación y marketing para la promoción de los recursos turísticos.

Este estudio incorpora efectos espaciales dinámicos a los modelos de previsión de la demanda turística mediante el empleo de una red neuronal transformadora. Supone un avance en el desarrollo de metodologías en campos afines.