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This paper aims at assessing the role of authenticity of local food in contributing to tourism as an ecosystem service in a small mountain tourism destination, i.e. Alagna Valsesia (North-West of Italy).

A mix method approach has been adopted. The research has been carried out by using both CAWI (Computer Assisted Web Interview) and PAPI (Paper And Pen Interview) methodologies for surveys on the accommodation facilities managers and tourists. In addition, an analysis of electronic word-of-mouth platforms (TripAdvisor and Google) was implemented to understand more in-depth the local foodservice.

Findings show that Alagna Valsesia embodies its authenticity with the tradition of the local culture, characterised by natural heritage and Walser uses. Some tools are identified to improve the attractiveness of the tourist destination.

The main limitation of this study can be found in the study' application to a rather limited and geographically restricted area.

The results provided by this study can help local policy-makers in driving local policies and public funds in implementing ecotourism based practices.

Although the role of local food has been much studied in relation to the tourism sector, to the knowledge of the authors, this contribution represents a first attempt to analyse local food's role in terms of local food's crossover contribution to supporting cultural tourism.

As a distinctive form of communist heritage tourism, the ideology and government-led form of red tourism warrants an in-depth examination of how tourists consume and perceive it. This study aims to reveal tourists’ perception of red tourism through the lens of destination image.

This study collected 9,819 user-generated photographs within four types of red tourism destinations (RTDs) and used a computer visual and semiotic analysis approach to conduct photograph-based cognitive and affective attributes extraction. Network analysis further visualized the co-relations between cognitive images and affective images. ANOVA analysis compared the differences of the four types of destination images.

Ten dimensions of cognitive image and eight categories of affective image of red tourism were identified. It found that monuments, statues, memorial symbols were the distinctive cognitive features, and admiration was the most dominant emotion. Heterogeneity of destination images was identified among the four types of RTDs.

To the best of the authors’ knowledge, the study is one of the first to explore tourists’ consumption of red tourism through the lens of destination image, which reveals the inconsistencies between the officially projected images and tourists’ perceived images of red tourism. Using Plutchik’s model, it validates a series of positive and negative emotions contributing to the affective images of red tourism, which expands the findings of emotions within the extant red tourism research. Through combined applications of computer visual and semiotic analysis, ANOVA, network analysis and model visualization, the study provides an important methodological triangulation for photograph-based destination image studies.

红色旅游作为共产主义旅游的独特形式, 游客如何感知这种国家意识形态植入与政府主导型旅游值得深入研究。本研究旨在从目的地意象视角揭示游客红色旅游感知。

本研究收集四种类型的红色旅游地9819张用户生成照片, 利用计算机视觉-情感析法对照片进行认知和情感元素提取。复杂网络分析揭示了认知意象与情感意象之间的关联。方差分析比较了四种红色旅游地意象的差异。

本研究确定了红色旅游认知意象的十个维度和情感意象的八个类别。研究发现, 纪念碑、雕像、纪念符号是其独特的认知意象元素, 钦佩是其最主要的情感，四种类型红色旅游地意象存在差异性。

本文是同类研究中首次从目的地意象视角探索游客对红色旅游地感知, 揭示了红色旅游官方投射意象与游客感知意象之间的差异。利用Plutchik情感之轮模型, 验证了一系列积极和消极情绪构成红色旅游地情感意象, 拓展了红色旅游的情感发现。综合运用计算机视觉-情感分析、方差分析、网络分析和模型可视化等方法, 为基于照片的旅游目的地意象研究提供了一个重要方法。

Como forma distintiva del turismo del patrimonio comunista, la ideología y la forma gubernamental del turismo rojo justifican un examen en profundidad de cómo lo consumen y perciben los turistas. Este estudio pretende revelar la percepción que tienen los turistas del turismo rojo desde la perspectiva de la imagen del destino.

Este estudio recopiló 9.819 fotografías generadas por los usuarios dentro de cuatro tipos de destinos de turismo rojo, y utilizó un enfoque de análisis visual y semiótico por ordenador para llevar a cabo la extracción de atributos cognitivos y afectivos basados en fotografías. El análisis de redes visualizó además las correlaciones entre las imágenes cognitivas y las imágenes afectivas. El análisis ANOVA comparó las diferencias de los cuatro tipos de imágenes de destino.

Se identificaron diez dimensiones de imagen cognitiva y ocho categorías de imagen afectiva del turismo rojo. Se descubrió que los monumentos, las estatuas y los símbolos conmemorativos eran los rasgos cognitivos distintivos, y la admiración la emoción más dominante. Se identificó una heterogeneidad de imágenes de destino entre los cuatro tipos de destinos de turismo rojo.

El estudio es uno de los primeros en explorar el consumo de turismo rojo por parte de los turistas a través de la lente de la imagen del destino, lo que revela las incoherencias entre las imágenes proyectadas oficialmente y las imágenes percibidas por los turistas del turismo rojo. Utilizando el modelo de Plutchik, valida una serie de emociones positivas y negativas que contribuyen a las imágenes afectivas del turismo rojo, lo que amplía los hallazgos sobre las emociones dentro de la investigación existente sobre el turismo rojo. Mediante aplicaciones combinadas de análisis visual y semiótico por ordenador, ANOVA, análisis de redes y visualización de modelos, el estudio proporciona una importante triangulación metodológica para los estudios de la imagen del destino basados en fotografías.

The study aims to explore the intellectual structure of wellness tourism (WT) research by performing a two-phase methodological approach.

Citation and co-citation analysis were performed on 209 articles published up to October 2021 in Scopus, and the results were visualised with the VOSviewer software. Furthermore, to assess clusters in-depth, qualitative thematic content analysis was used.

The findings indicate that the main articles of WT research examine the demand side of WT. Five clusters were explored by co-citation analysis. Each cluster is discussed by presenting the main theme, key theoretical framework, and characteristic methodological perspective. Accordingly, no dominant theory stands out in research on wellness tourism. Most of the study has been done through cross-sectional surveys.

The authors anticipate that by the recommendations outlined in this study, WT research will progress and provide significant insights to WT practitioners in the coming years to meet tourist expectations.

Via this research, which shows the discovery of the intellectual structure of WT and its holistic picture, the deficiencies in the picture will be seen, and practitioners will be provided information based on evidence.

Tourism is a rapidly growing economic sector that contributes significantly to national and local economies globally. Tourism growth in any destination largely depends on the weather and climate, considered prime factors affecting global tourist flows. Global South countries are said to be particularly vulnerable to climate change, owing to their limited adaptation capacity, placing them at greater risk of the impacts of climate change. This adaptive capacity is mainly attributed to a lack of capital intensity and technological flexibility, which is less effective than in developed countries. In addition to a lack of capacity to adjust to the direct hazards of climate change, developing countries are at additional risk due to their heavy reliance on economic sectors and resources sensitive to climate change, such as tourism. An enhanced understanding of climate change's impacts and adaptations to climate change is critical for determining strategic actions for tourism planning and development. This chapter provides a theoretical review of tourism and adaptation strategies, challenges and the dimensions of vulnerability in a tourism context, as well as the implications of climate change on tourism planning in the future. This chapter discusses the impact of climate change on tourism in the Global South, examining case studies and policy frameworks for adaptation and mitigation. It further explores opportunities for sustainable tourism development and partnerships for climate-resilient tourism. Overall, the chapter focuses on the challenges and opportunities for sustainable tourism in the Global South in the face of climate change.

Networks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.

This study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.

The results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.

Local governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.

This study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

This study aims to explore the good crowding effect among Indian domestic travellers during the COVID-19 pandemic in the context of the city destination. This study uses the framework of social motivation theory to achieve the objective.

This study adopted a qualitative research design by taking the case of Shimla, Himachal Pradesh. Using purposive sampling, semi-structured interviews were conducted with 37 respondents, and themes were drawn manually.

The analysis found four themes that create a good crowding effect among domestic tourists, namely, convenience and price; familiarity and place attachment; social affiliation; and safety. The themes indicated that despite the pandemic, and constant occurrences of new variants, Indian domestic tourists’ on-site attitude towards crowding was favourable.

Firstly, the good crowding effect during the pandemic could have been better understood using empirical data. Secondly, the results cannot be generalized, specifically for developed economies.

This study offers practical implications to destination managers and local administrative bodies for whom achieving sustainability in urban tourism has always been concerning. These include developing infrastructural facilities, encouraging cultural activities in city centres and improving the perception of safety to sustain the good crowding effect.

The affective dimension involved in making a travelling decision played a significant role in the post-pandemic phase. While suppliers needed survival, tourists needed social affiliation and escape from the mandated home isolation due to multiple phases of COVID-19 lockdown in India. This study adds value to society by emphasising that the need for social affiliation among travellers remains intact, and the tourism industry should embrace this transformation.

While most of the pandemic-related studies criticised crowd and tourists’ crowd averting behaviour, this study reported that the good crowding effect could also be an outcome owing to different factors. Therefore, this study offers distinctive nuance of tourists’ behaviour in the post-COVID-19 phase, allowing destination managers and tourism stakeholders to re-think their strategies.

This study aims to explore the impact of tourists’ perceptions of two rural destination attractiveness dimensions on tourists’ environmentally responsible behavioral intentions (ERBI). Further, the mediating effects of tourists’ green self-identity on the relationship between the perception of rural destination attractiveness and ERBI are investigated.

This study collected survey data from 188 tourists who had visiting experiences in rural attractions located in the Guangdong Province of China. Partial least squares structural equation modeling (PLS-SEM) was used to test the proposed hypotheses.

The results found that rural destination specialty fresh food attractiveness perceived by tourists was positively associated with their ERBI. Moreover, tourists’ green self-identity positively mediated the perception of rural destination attractiveness and ERBI.

This study explains how the tourists’ perceptions of two rural destination attractiveness dimensions influence their ERBI. By exploring the mediating role of tourists’ green self-identity, this study also emphasizes the transforming mechanism from tourists’ perceived experience to their ERBI. The study provides insights into nature-based tourism destination management and sustainability practices.

This study aims to investigate how and to what extent structural network properties affect dyadic negotiation behavior in tourism destination ecosystems. Specifically, this study addresses negotiation behavior in terms of problem-solving and contending, because these two key strategies reflect the integrative and distributive aspects of dyadic interactions.

This study relies on network data and dyadic survey data from nine mountain tourism destinations in Southeastern Norway. The structural network properties the authors research are triadic closure – the extent to which a dyad has common ties to other actors – and structural equivalence – the similarities in networking patterns that capture firms’ competition for similar resources. In addition, the authors also study a possible effect of relationship duration on negotiation behavior.

Triadic closure and relationship duration have positive effects on problem-solving, and structural equivalence tends to decrease problem-solving, although the effect is inconsistent; none of these three independent variables was found to affect contending negotiation behavior.

This study shows that a dyad’s structural network embeddedness has implications for negotiation behavior. Further research is encouraged to develop this theoretical perspective.

This study is a pioneering investigation of how structural network properties affect dyadic negotiation behavior in ongoing coproducing relationships in real-world destination ecosystems.

Climate change places significant pressure on the tourism sector by altering environmental and socio-economic conditions that influence tourist behaviour and the attractiveness of destinations. Rising temperatures, changing precipitation patterns and the increasing frequency and severity of extreme weather events affect tourism supply and demand. On the supply side, climate change threatens tourism infrastructure, natural attractions, recreational opportunities and accessibility of destinations. Coastal destinations are particularly vulnerable to sea-level rise and coastal flooding, which can damage tourism assets. On the demand side, changing climatic conditions alter visitor comfort levels, health risks and the seasonality of destinations, influencing tourists' choice of destinations. In addition, small island destinations face unnecessary risks due to their economic dependence on climate-sensitive activities such as beach and nature tourism. Adapting the tourism sector to climate change requires reducing vulnerability through diversification, green infrastructure, ecosystem conservation, community-based adaptation and policy support. Mitigating tourism's contribution to climate change requires minimising energy use, switching to renewable energy, improving efficiency, reducing long-haul flights and promoting sustainable consumption and production. Collective and concerted efforts by all stakeholders are needed to transition to a climate-resilient and low-carbon tourism sector that continues to provide socio-economic benefits while minimising its environmental footprint.