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This study aims to examine the impact of autonomous vehicles adoption motivations (i.e. technological, ecological and intrinsic motivation) on tourists’ pro-environmental behavior and verify the mediating role of tourists’ green self-image between the relationship of eco-friendly attitudes and autonomous vehicles adoption motivations.

The data from 586 national and international tourists were analyzed using the partial least squares method.

The findings revealed that eco-friendly attitude is a significant predictor of tourists’ green self-image; tourists’ green self-image is a significant predictor of autonomous vehicles adoption motivations; and autonomous vehicles adoption motivations are significant predictors of tourists’ pro-environmental behavior. In addition, tourists’ green self-image mediated the relationship between eco-friendly attitudes and autonomous vehicles adoption motivations.

These outcomes provide valuable guidance for the future development of green destination tourism and allow interesting implications for the tourism industry and autonomous vehicles adoption.

本研究探讨自动驾驶汽车采纳动机（即技术、生态和内在动机）对游客环保行为的影响, 并验证游客绿色自我形象在环保态度和自动驾驶汽车采纳动机之间的中介作用。

收集586份来自中国国内外游客的数据, 采用偏最小二乘法进行分析。

研究结果表明, 环保态度显著影响游客绿色自我形象, 进而影响自动驾驶汽车采纳动机, 带来游客的环保行为。此外, 游客的绿色自我形象在环保态度与自动驾驶汽车采纳动机之间起到中介作用。

本研究提出了游客绿色自我形象的概念, 将游客与环保人士的日常行为进行区分。研究结果为绿色目的地旅游业的未来发展提供了方向, 对旅游业和自动驾驶汽车的采纳产生影响。

Este estudio tiene como objetivo examinar el impacto de las motivaciones para la adopción de vehículos autónomos (es decir, motivaciones tecnológicas, ecológicas e intrínsecas) en el comportamiento proambiental de los turistas y verificar el papel mediador de la autoimagen ecológica de los turistas en la relación entre las actitudes ecológicas. y las motivaciones para la adopción de vehículos autónomos.

Se analizaron los datos de 586 turistas nacionales e internacionales mediante el método de mínimos cuadrados parciales.

Los hallazgos revelaron que la actitud ecológica es un predictor importante de la autoimagen ecológica de los turistas; la autoimagen ecológica de los turistas es un predictor importante de las motivaciones para la adopción de vehículos autónomos; y las motivaciones para la adopción de vehículos autónomos son predictores importantes del comportamiento proambiental de los turistas. Además, la autoimagen ecológica de los turistas medió la relación entre las actitudes ecológicas y las motivaciones para la adopción de vehículos autónomos.

Estos resultados proporcionan una orientación valiosa para el desarrollo futuro del turismo de destino ecológico y permiten implicaciones interesantes para la industria turística y la adopción de vehículos autónomos.

This paper aims to establish the causal relationship between destination image and tourist motivation and engagement.

A causal model with seven hypotheses was tested into a sample of 438 domestic tourists in Acapulco (Mexico).

Cognitive destination image is the main antecedent of tourist engagement, exerting an important direct and indirect effect through push and pull motivations. Affective image also exerts a direct effect on tourist engagement and an indirect effect through push and pull motivations. Only pull motivations exert an influence on tourist engagement.

The study is based on domestic tourists at a sun and beach destination.

Destination management organisations should invest in the care, improvement and promotion of tourism resources. Online and offline communication campaigns should be based on tourism resources and experiences.

This paper fulfils three research gaps: destination image is associated with tourist engagement; tourist motivations affect tourist engagement; and destination image is associated with tourist motivations.

This paper aims to study the decision‐making processes of Portuguese tourists traveling to South America and Africa destinations by developing a conceptual framework that focuses on information sources, motivations, perceptions, satisfactions, and behavioral intentions.

The study applies a structural model that looks to explain the factors behind decision making and the relationships present. The relationships are observed in detail through the application of a categorical principal component analysis.

The results of the empirical study show that behavioral intentions precede emotional and cognitive satisfaction, which in turn, are explained through perceptions and motivations. Tourists perceive tourism destinations as places of leisure although little information is available on existing facilities and core attractions.

The study has the restriction of being limited to the Portuguese tourists. However, these findings open paths for further investigation, namely extending to other destinations and to tourists with different motivations.

This study contributes to the overall understanding of the decision‐making processes of tourists. Specifically, the decision processes is assess by considering two stages: the pre‐purchase stage and the post‐purchase stage. These two phases were analyzed in order to understand how people decide to travel to a certain destination.

The purpose of this study is to analyse how tourists form the cognitive, affective and unique images of a tourism destination, taking into account that: travellers use user-generated content (UGC) as one of the more important sources of information about the destination, sources of information influence on travellers’ motivation to visit some destination and motivations influence on the dimensions of the destination image.

Taking into account the works of Beerli and Martin (2004), Seabra et al. (2007) and Qu et al. (2011), this paper proposes an integrative model that shows how different types of information sources influence on individuals’ motivations, as well as the different dimensions of the image of the tourist destination are influenced by tourists’ motivations. Moreover, the design and validation of new scales of measures, adapted to the new tourist profile 2.0, is proposed. The model is empirical tested by analysis of 541 national and international tourists, as well as residents in Mallorca: data were analysed using a structural equations model.

The results confirm the strength and robustness of the constructed theoretical model, and contrasting the assumptions made in the work. Likewise, also confirms the validity and adequacy of the proposed new scales of measurement to the current reality of the tourism sector. The principal conclusions obtained are: motivations for visiting a place are influenced by information sources consulted by tourists, among which social media can be included; cognitive image is influenced by travellers’ motivations; and affective image is influenced by cognitive one. From these results, some managerial recommendations are suggested.

The present study offers important contributions for both researchers and managers in the field of destination brand image management. At theoretical level, the work provides a deep review of the literature, that has permitted the construction of a strong and robust theoretical model, as well as the design and validation of new measurement tools. Both are designed from the rigour and precision that provides scientific research, allowing the understanding and analysis of the current situation of the tourism sector. On the other hand, the work has important implications on a practical level, providing strategic management and travellers destination marketing organization stakeholders.

This study constitutes an initial, but also newness approach to this line of research. The construction of a theoretical model that: contemplates UGC as information source, and considers the direct and moderating relationships between different variables such as information sources, motivations and the various dimensions of the image.

This paper addresses the motivations of tourists who visit the region of La Rioja, Spain, which is well known for its internationally recognized, high-quality wines, yet remains understudied as a wine tourism destination. The paper aims to ascertain whether tourists are attracted to La Rioja because of its famous wines and wine-related activities or if other motivations exist.

The data were derived from 217 questionnaires regarding tourists’ motivations. A tourist survey was applied in La Rioja’s capital city, Logroño, and segmentation analysis was undertaken. The data were first grouped into five factors regarding motivations for one’s visit. These factors were then used to create two clusters: “wine tourists” and “other tourists”.

The results enabled us to detect different segments of tourists. The existence of two clusters suggests that tourists are motivated to visit the region for various reasons that are not necessarily wine-related. Thus, the region should be marketed to tourists beyond the theme of wine, as there is a demand for diverse experiences.

Using the push and pull theory, this study contributes to the literature on the profile of visitors to wine tourism destinations by identifying differences in terms of motivations and other personal characteristics between “wine tourists” and the “other tourists”. It also adds to the few existing studies on wine tourism segmentation in Spain through its focus on La Rioja, which is one of the most famous Spanish wine tourism destinations.

Shopping is a popular tourist activity. While a person might not travel for the purpose of shopping, many tourists shop while traveling. This study aims to examine travel motivation as a predictor of the importance assigned to desired shopping center attributes for three different shopping centers, and their effect on satisfaction, and re‐patronage intention.

Data were collected via mall‐intercept surveys from 624 tourist shoppers at seven shopping centers. A tourist was defined as a person who traveled a distance of at least 50 miles from their home.

Desired shopping center attributes are influenced by travel motivation. For the superregional center, a linear relationship was computed for the exploration travel motive, mall environment, overall satisfaction and re‐patronage intention. Interestingly, overall satisfaction with the shopping center was not a significant predictor of re‐patronage intention in the theme/festival or super off‐price centers.

Given the importance of shopping in the travel agenda, identification and consideration of different travel motivations can facilitate development of the shopping center environment for maximum customer satisfaction. All of the motivations may co‐exist in the same family or tourist unit (e.g. convention attendees). These findings can be particularly useful in designing amenities and targeting promotional campaigns to different audiences.

This study aims to identify motivations for visiting Kyoto's prominent religious attractions using latent Dirichlet allocation (LDA) text analysis of online reviews; establish linkages between push motivational factors and pull factors of the religious sites, forming distinct tourist typologies; and suggest strategies for Kyoto's destination marketing based on the findings.

This study analyzed 37,772 TripAdvisor reviews for Kyoto's top 25 religious sites from the pre-pandemic period (March 2020). LDA topic modeling extracts 18 underlying thematic dimensions from the review texts. Axial coding of these dimensions revealed five distinct tourist motivation typologies.

Five motivation typologies emerged: cultural seekers drawn to Japan's unique heritage, nature lovers attracted by scenic landscapes, chrono-seasonal experiencers seeking distinct seasonal views, crowd-avoiders prioritizing less congested visits and city wanderers engaging in local activities.

The findings offer valuable guidance for destination marketers and managers in Kyoto, enabling the development of targeted strategies to enhance visitor experiences and manage overcrowding at popular religious sites.

This research provides novel insights into nonreligious tourists' motivations for visiting religious sites in a crowded destination. By identifying distinct motivation-based tourist typologies, the study informs strategies for enhancing visitor experiences tailored to diverse needs, contributing to tourism literature and practical destination management.

This study examines the effect of some motivations of domestic tourists visiting Mugla related to the consumption of local Mugla food on behavioural intentions. The mediating impact of destination image on the behavioural intention effect of tourists' local food consumption motivations is also investigated.

A quantitative approach was adopted for the study’s objectives. The population of the study consisted of domestic tourists visiting Mugla, Turkiye. The sample was determined by the convenience sampling method, which is one of the non-probability-based sampling techniques, because of the characteristics of the research population. Around 390 questionnaires collected from tourists visiting Mugla were analysed. The structural equation model (SEM) was applied for testing the research hypotheses, and Bootstrap technique was used for mediation effect analysis.

Sensory motivation, which is one of the local food consumption motivations, was found to have a statistically significant effect on behavioural intention. No significant effect was found between other motivation factors (excitement, cultural, interaction and health) and behavioural intention. Also, there is a partial mediation effect of destination image in the effect of sensory motivation on behavioural intention. Whilst sensory value alone explains 28% of the effect on behavioural intention, it explains 31% of the effect on behavioural intention together with destination image.

The development of food culture in a destination and the increase in awareness of the food culture of the destination through different consumer components are of great importance for regional tourism. This research contributes to the gastronomy tourism literature in terms of examining the local food consumption motivations that are effective in visitors' experiences of Mugla food, the effect of these motivations on revisits and the role of Mugla destination image.

The purpose of this study is to examine the relationships between tourists’ motivations, perception of tourism impacts, place attachment (PA) and loyalty toward Jallianwala Bagh, a dark heritage site in Punjab, India.

A mixed-method approach comprising qualitative and quantitative methods was used. Semi-structured interviews and the Delphi method helped generate a 34-item survey instrument. A sample size of 869 respondents was obtained, split into two subsets for exploratory factor analysis and confirmatory factor analysis.

Seven out of nine hypotheses were supported. Motivated tourists perceived higher positive tourism impacts but lower negative tourism impacts. Higher perceptions of positive tourism impacts increased both PA and loyalty to the destination. Surprisingly, the perception of negative tourism impacts did not significantly affect tourist loyalty, contrary to some previous research.

This study informs stakeholders about tourists’ cognitive and affective responses at a dark tourism site, aiding in the planning and development of sustainable tourism strategies.

By understanding the tourists’ motivations and perceptions, stakeholders can manage tourism impacts more effectively, ensuring that tourists’ experiences align with sustainable practices.

This study enriches the understanding of the tourists’ complex interactions with dark heritage sites. It introduces a new angle by examining how motivations, PA and perceptions of tourism impacts influence tourist loyalty, especially in the context of dark tourism.

Virtual tourism has become popular in recent years. However, there is still a research gap on virtual tourist motivation. This study aims to identify virtual tourist motivation and explore the relationship between virtual tourism and on-site tourism.

This research identifies virtual tourist motivation based on Means-end chain (MEC) theory. Laddering interviews with 32 respondents were conducted to construct a hierarchical value map. Additionally, a motivation analysis of virtual tourism and on-site tourism was developed based on a review of the relevant literature.

This exploratory study revealed 12 attributes, 9 results and 4 values that virtual tourists wish to achieve and identified 5 means-end chains where self-satisfaction is the most important value-led motivation. Compared with on-site tourism motivations, virtual tourism shows possibilities of replacing, complementing and extending on-site tourism under certain circumstances. However, it significantly depends on whether tourists are attracted by the technical characteristics, security and experience conditions of virtual tourism.

This study contributes to understanding virtual tourist motivation and offers motivation-based insights into the relationship between virtual and on-site tourism. Managerial implications on how to attract potential online tourists are also provided.

虚拟旅游在近些年逐渐受到欢迎。然而, 关于虚拟旅游动机的研究仍存在不足。本研究旨在识别虚拟旅游动机, 并探讨虚拟旅游与现实旅游之间的关系。

本研究基于方法-目的链（MEC）理论识别虚拟游客动机。通过对32名受访者进行阶梯式访谈, 以构建一个价值阶层图。此外, 本研究在回顾相关文献基础上, 对虚拟旅游和现实旅游的动机进行差异化比较分析。

这项探索性研究揭示了虚拟旅游游客希望实现的12个属性、9个结果和4个价值, 并确定了5条MEC, 其中自我满足是最重要的价值导向动机。通过与现实旅游动机比较, 研究发现虚拟旅游在一定条件下具有替代、补充和延伸现实旅游的可能性。然而, 这在很大程度上取决于游客是否被虚拟旅游的技术特点、安全性和体验等条件所吸引。

研究结果有助于进一步理解虚拟旅游动机, 并为虚拟旅游和现实旅游之间的关系提供基于动机的见解。重要的是, 研究还为如何吸引潜在虚拟游客提供管理启示。

El turismo virtual se ha popularizado en los últimos años. Sin embargo, aún existe un vacío en la investigación sobre la motivación del turista virtual. El estudio pretende identificar la motivación del turista virtual y explorar la relación entre el turismo virtual y el turismo in situ (real).

Esta investigación identifica la motivación del turista virtual basándose en la teoría de la cadena medio-fin (MEC). Se realizaron entrevistas escalonadas a 32 encuestados para construir un mapa jerárquico de valores. Además, se elaboró un análisis de la motivación del turismo virtual y del turismo presencial basado en una revisión de la bibliografía pertinente.

El estudio exploratorio reveló 12 atributos, 9 resultados y 4 valores que los turistas virtuales desean alcanzar e identificó 5 MEC en los que la autosatisfacción es la motivación basada en valores más importante. En comparación con las motivaciones del turismo in situ (real), el turismo virtual muestra posibilidades de sustituir, complementar y ampliar el turismo in situ (real) en determinadas circunstancias. Sin embargo, depende en gran medida de si los turistas se sienten atraídos por las características técnicas, la seguridad y las condiciones de experiencia del turismo virtual.

Este estudio contribuye a comprender la motivación del turista virtual y ofrece perspectivas basadas en la motivación sobre la relación entre el turismo virtual y el turismo in situ (real). También se ofrecen implicaciones para la gestión sobre cómo atraer a los turistas potenciales en línea.