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The significance of event tourism in destination development underscores the importance of assessing the quality of events and their sustainability for competitiveness. This study investigates tourists’ perceptions of service quality and sustainability at the “Biggest São João in the World” event in 2023. Employing a quantitative approach, we conducted field research using questionnaires based on the Tourqual model, integrating sustainability indicators to address environmental impacts associated with such events. Data collection took place between June and July 2023, with a non-probabilistic convenience sample of 709 visitors. Descriptive statistics were applied to the 2022 survey data (397 respondents), on the 2023 data (709 respondents). Results reveal that the event’s diverse activities received the highest average rating at 4.03, while the use of sustainable transport during the event garnered the lowest rating at 1.93. This emphasizes the need for event organizers to implement continuous improvement plans, focusing particularly on areas with critical evaluations to enhance visitor satisfaction. This study’s originality and innovative approach contribute valuable insights for event managers and researchers and promote both local development and environmental awareness.

This chapter is born out of concern about the perception of the physical and symbolic place of the live-in housekeeper, both in socioeconomic, and historical terms, as well as the architectural and social dynamics of the home. An intersectional and teleological analysis of the intrinsic devaluation of paid social reproduction work is carried out, based mainly on gender, race, and class inequalities. Ultimately, the chapter tries to locate the position in which the maid finds herself in the domestic environment, both in family relationships and in the symbolism inherent to the concept of the maid’s room. Based on sociological, philosophical, and anthropological analysis, the ambiguous place of domestic workers becomes clearer, promoting a reflection on the very concept of family and household. Thus, the chapter proposes to achieve a hermeneutic dive into the experience of this working class, revealing a hierarchical system beyond the socioeconomic, but above all, of their subjectivities.

This study aims to examine the moderating role of generational identity in the relationship between user-generated content (UGC) and tourist destination image. It seeks to unveil the differential impact of UGC on the cognitive and affective dimensions of tourist destination image across generational cohorts: Generation Z, Millennials and Generation X.

This study has an experimental design. It used online surveys to gather data from 317 participants recruited through social media channels. Participants were presented with both positive and negative UGC, and their responses were measured using cognitive and affective scales.

This study reveals that UGC significantly affects both the cognitive and affective dimensions of the destination image. However, the impact on the cognitive aspect is moderated by generational differences, with distinct variations observed across Generation Z, Millennials and Generation X. No significant generational moderation was found for the affective dimension, indicating a universal influence of UGC on emotional perceptions of destinations.

The findings suggest that marketers should tailor their communication strategies to the generational characteristics of their target audience, especially concerning the cognitive aspects of destination marketing. However, for affective appeals, a uniform strategy could be applied across generations, simplifying the approach for emotional marketing content.

This research contributes to the extant literature by highlighting the importance of generational segmentation in the strategic marketing of tourism destinations. It extends the discourse to generational analysis, providing a more granular understanding of the interactions between tourists and UGC.

This paper aimed to develop a participatory methodology to analyze the disaster risk creation in coastal cities, based on an approach that combines social, urban, environmental and disaster risk elements.

The methodology uses some aspects of three theoretical approaches in a complementary way: i) the Pressure and Release (PAR) framework for the identification of dynamic pressures that contribute to disaster risk creation; ii) the application of Drivers, Pressure, State, Impact, Response (DPSIR) framework to analyze environmental dimensions; and iii) urban analysis, applying the Strengths, Weaknesses, Opportunities and Threats (SWOT) tool to classify urban processes. The methodology combined the use of satellite remote sensing data to analyze the urban sprawl and citizen science methods to collect social and environmental data, using the case study of the watershed of the Juqueriquerê River in the coastal city of Caraguatatuba, Brazil. The pilot project was part of a local university extension project of the undergraduate course on Architecture and Urban Planning and also engaged residents and city hall representatives.

The satellite remote sense data analysis indicated a continuous urban sprawl between 1985 and 2020, especially in the south of the Juqueriquerê watershed, reducing urban drainage and increasing the extension and water depth of urban flooding and riverine floods. Using citizen science methods, undergraduates identified settlements with limited economic resources to elevate houses and a lack of infrastructure to promote a resilient coastal city. After identifying the dynamic pressures that contribute to disaster risk creation and the weaknesses and strengths of a resilient city, undergraduate students proposed urban planning interventions and gray and green infrastructure projects to mitigate disaster risks.

The paper identifies urban sprawl in disaster-prone areas as one of the risk factors contributing to disaster. It also comprehensively analyzes differences between different zones in the Juqueriqere River, which will be useful for policy-making.

The method presented an interdisciplinary approach that used satellite remote sensing data and citizen science techniques to analyze disaster risks in coastal cities. The multidimensional approach used to evaluate risks is useful and can be replicated in other similar studies to gain a more comprehensive understanding of disaster risks.