Assessing Quality of Life and Walkability for Urban Regeneration: The Piave Neighbourhood in Mestre-Venice

Abstract

Urban regeneration works on the tangible and intangible assets of a city or part of a city. The research aimed at formulating an assessment methodology that allows for the simultaneous consideration of the tangible and intangible aspects that constitute the qualities of a part of a city. The theoretical frame of reference identifies conceptual frameworks to guide the assessment. Quality of life (QOL) and walkability (W) are chosen as the intangible and tangible dimensions, respectively. The methodology designed had to take summary variables into account for tangible elements. Similarly, walkability was summarised in complex variables carried over to observable and measurable variables. Finally, the QOL and W variables are considered in their dialectical and dynamic relationship. The statistical tools used to assess quality of life and walkability were different. The assessment of QOL and walkability was carried out using the tool of confirmatory factor analysis (CFA), which can estimate latent variables from observed variables. The interaction between the variables was investigated using structural equation modelling (SEM). The sample surveyed to investigate the quality of the Piave neighbourhood, in the mainland part of the city of Venice, consists of 169 people. The results of the models highlight the relevance of the method used, given the satisfactory statistical indexes obtained. The results are also relevant from an empirical point of view. The study highlights the fact that the significant quality of the space that ensures high levels of accessibility is far from being matched by the quality of social relations, deemed problematic by the majority of those interviewed.

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Unraveling the Dynamic Relationship between Neighborhood Deprivation and Walkability over Time: A Machine Learning Approach

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