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How much goodness do we expect from our neighbours? People living nearby might be locked with each other in interdependencies by spatial proximity but often do not know each other more personally. This chapter explores the question of how latent neighbourliness – an expectation that neighbours will have our back even though we might not know them – emerges. We draw on statistical analyses of survey data from four neighbourhoods in Berlin, Germany, and a pre- and post-COVID-19 methodology, therefore capturing a time when people were asked to stay home and within their neighbourhoods. Our findings demonstrate that latent neighbourliness is neither significantly associated with personal support from neighbours when facing important challenges, nor personal support experienced in the neighbourhood with others whom we know, but who are not neighbours (e.g., family members). Neither is latent neighbourliness a fixed attitude that can be explained by individual characteristics and/or positions (such as age, gender, education, income, one’s employment situation and others). In contrast, we find that, apart from individual generalised trust towards others, the neighbourhood setting itself shapes levels of latent neighbourliness among all demographics. Additionally, those with younger children show higher latent neighbourliness, most likely a result of moral geographies. We argue that caring for children in public and experiencing or displaying moral codes that others can read makes it easier to develop an expectation of goodwill (or for that matter, hostility) from neighbours, without having more durable ties to them.

Understanding the role of emotion, landscape, involvement and storytelling related to wine is the basis for understanding the wine tourist experience. The purpose of this study is to analyze the validity and reliability of the wine experience scale in Spain.

The scale validation comprised translation, cultural adaptation and validity, in which 250 wine tourists (45.6% male and 54.4% female) from 17 Spanish wineries participated. Data was collected on different days during three consecutive months. To carry out the analyses, IBM SPSS and JASP software were used.

The statistical procedures used allowed the verification of psychometric properties as well as adjustment indices and reliability measures. The analyses carried out retained 16 items and ensured grouping into four factors: wine storytelling, wine involvement, winescape and wine tasting excitement.

By providing this instrument, it will be possible to create a promising path of commercial knowledge. Its application will contribute to establishing a more accurate profile of wine tourists and, simultaneously, to adapting a sustainable tourist offer.