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EN
This article identifies the spatial correlation between the social determinants of health in the housing area (housing prices, overcrowding, poor-quality building materials, and household socioeconomic vulnerability) and the spread of COVID-19 in Santiago de Chile. The research used data from the 2017 Census conducted by the National Institute of Statistics of Chile and data on confirmed cases of COVID-19 (PCR) by communes provided by/obtained from Chile’s Ministry of Health. The article provides a two-fold examination/analysis of the spatial correlation using the Pearson measure to observe how the virus spread from areas with high-quality housing in the early stage of the contagion to then become concentrated in areas with low-quality of housing. The second examination/analysis is a multiple linear regression to identify the housing factors that inform virus propagation. The test results show that of the four social determinants of health relating to housing assessed here, housing prices is the variable that best predicts how the social determinants of health based on housing explain the progress of the pandemic for the Santiago case, following the collinearity factors according to the data used in this study. The conclusions suggest that public policy should treat housing quality as a factor in public health and health risks that needs to be addressed with a transdisciplinary approach to urban planning in Chile.
EN
The popularity of short-term letting (STL) platforms like Airbnb has created housing and planning challenges for cities worldwide, including the potential impact of STL on the quality of life of nearby residents and communities. Underpinning this concern is an inherent tension in urban living between the rights and interests of individual residents, and the collective rights and interests of neighbours. Through interviews with Australian Airbnb hosts, this paper examines how STL hosts navigate this tension, including how they frame their property rights, how they seek to minimise their impact on neighbours, and how they perceive the role of regulation in balancing individual and community rights. In doing so the paper contributes to both theory and policy debates about urban property rights and how ‘compact city’ planning orthodoxies are reshaping the lived experience of urban residents worldwide.
EN
Social mix policies aim to integrate residents living in diverse forms of housing. While numerous studies have showcased the limitations of social mix in achieving this objective, explanations for this tendency remain incomplete. Accordingly, this qualitative case study adopts insights from the sociology of everyday life and interaction ritual theory to elaborate on academic understandings of (non)-interaction between disparate groups in mixed housing communities. It draws primarily from observational fieldwork and semi-structured interview data gathered in the public spaces of a transitioning mid-sized city in Ontario, Canada. The findings report how everyday encounters among and between the urban poor and wealthier residents (re)produce patterns of group solidarity and conflict. The continued application of micro-sociological perspectives to housing mix research can chronicle and perhaps mend the gaps between government housing policy objectives and the experiences of residents living within relevant legislative jurisdictions.
EN
Hedonic modelling is an empirical analysis technique that is widely used to review the housing market and unpack the main determinants of price. A correct determination of housing price drivers allows a weighted prediction of the value of each dwelling for sale or rent. This paper reviews the fundamental determinants of housing prices that have been published in the literature to see which ones have a better predictive fit for the case of the housing market in the city of Santiago, Chile. From a record of 456,000 property transactions, a dataset composed of 11 explanatory variables is elaborated. Through a semi-logarithmic regression, 4 variables that contribute to explaining the formation of housing prices in Santiago, Chile, are identified. The results indicate that the socioeconomic characterisation of urban areas where housing is traded, the price of copper on the London Metal Exchange, the mortgage interest rate, the age of residential buildings are the main drivers for the main drivers of prices in Santiago. Given the crisis of access to housing in Chile, the article provides relevant information for decision-makers in housing policy.
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