Abstract

Spatial relations among urban elements (buildings, streets, etc.) constantly affect the quality of urban spaces, creating more or less livable cities. The study of urban form has been a way of objectively quantifying such relations to understand their dynamics. Urban livability is the ability of urban spaces to fulfill the expectations of its inhabitants for wellbeing and quality of life. Measurable spatial patterns underlie the emergence of livable cities. Still, few researchers have considered if and how these patterns affect socioeconomic conditions across spatial scales. This paper explores the relationships between indicators of socioeconomic livability and cross-scale patterns of demographic and morphological densities within the Metro Vancouver (MV) region (Canada). Indicators of accessibility, social diversity, affordability, and economic vitality were quantified and compared among five population density clusters composed of 3450 census dissemination areas (DAs) in MV. Morphological indicators of intensity, centrality and diversity were aggregated at the DAs using spatial network analysis with five radii from 400 to 4800 m. Socioeconomic indices were regressed on urban form variables to assess the importance of the built environment on predicting livability-related qualities. Overall, indicators of the intensity of urban form were the most significant to predict the socioeconomic metrics. <strong><em>Policy relevance</em><br /></strong> Policies that aim to solve urban issues should consider nonlinear relations among variables. In the case of MV, indicators of accessibility, social diversity and economic vitality are directly correlated with each other and inversely correlated with affordability. Medium to high-density zones presented a fair equilibrium among the different livability qualities analyzed. Attributes aggregated with the 4800 m radius were highly important to predict the livability qualities within a 400 m radius, which potentially means that urban interventions may affect the livability of spaces not immediately close to them. A higher density of buildings with moderate height distributed among parcels with distinct sizes can potentially have a positive impact on economic vitality and housing affordability. The intensity and diversity of the tree canopy was important to predict active accessibility and social diversity. The inclusion of spatial diversity and network centrality measures on urban planning and design practices potentially foster more livable densification processes.

Highlights

  • Policies that aim to solve urban issues should consider nonlinear relations among variables

  • There is no consensus over an objective definition of urban livability, it can be generally defined as the ability of cities to fulfill expectations of its inhabitants for wellbeing and quality of life

  • This paper explores socioeconomic dimensions of a vision of urban livability that is backed by objective conditions (Ghasemi et al 2018), as urban form is an objectively measurable aspect of cities

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Summary

Introduction

Policies that aim to solve urban issues should consider nonlinear relations among variables. According to Scarth (1964), livability is essentially a property of the physical environment— an assumption of this paper—and densification should be designed to not disturb the livability of residential units It is important for decision-makers to understand how policies that affect urban form (such as maximum allowed densities, spatial or land-use requirements for urban developments) will affect the livability of spaces. This paper is focused on the social and economic dimensions of livability It investigates relations between densities of the built environment (based on metrics that describe the concentration of entities within a spatial scale, such as density of people, dwellings, buildings, floors, vegetation, parcels, floors and bedrooms) and indicators of four socioeconomic qualities of livable cities:. It was found that population density enhances those qualities up until a certain threshold

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