Convex- and Solid-Void Models for Analysis and Classification of Public Spaces

Beirão, José Nuno; Chaszar, Andre; Čavić, Ljiljana

doi:10.52842/conf.caadria.2014.253

Cited by 4 publications

(3 citation statements)

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Section: Literature Reviewmentioning

confidence: 99%

“…Size-based classification illustrates patterns that already give some insight into the structure of urban open spaces. For instance, large parks are considered central focal points, which are immediately distinguishable from smaller squares (Beirão & Chaszar, 2014). (Carmona, 2010b) classified public spaces based on their ownership and attempted to present this classification as becoming more dominant in an urban area.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Shape as a classification-driven approach creates differentiations that proposed by the initial size based. For instance, further subdividing for the classes of streets, intersections, and squares (Beirão & Chaszar, 2014). The issue with such morphologically based approach is that categories of spaces are almost unlimited in their complexity (Carmona, 2010b).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Classification of Urban Spaces: An Attempt to Classify Al-Baha City Urban Spaces Using Carmona’s Classification

Alzahrani

2022

SAGE Open

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Due to an increasingly complex mixture of different types of public spaces and their functions in cities, the role of public spaces can be enhanced to serve users under certain circumstances. This paper examines Carmona’s classification of urban spaces in Al-Baha, Saudi Arabia. Carmona introduces a classification that uses aspects of function, perception, and ownership to distinguish between space types. Twenty urban space types are recognized in four groups, representing a variety from clearly public to private space. The classifications of public spaces will be discussed to arrive at classifications for public spaces based on how public spaces are managed. The article builds an understanding of how such classifications relate to how real public spaces are provided today. In this case study, a Geographic Information System (GIS) map is created for Al-Baha Central District and includes the resulting classifications. From the 119 urban spaces selected to represent this study equally distributed across the study area, there are 12 types that public spaces match Carmona’s classification. The classification of urban spaces for this case study revealed the complexity of public spaces’ nature and the difficulty of distinguishing what is public. Public spaces tend to change and develop over time through other uses and activities. However, the classification of public spaces is a valuable tool that policymakers and planners can use to set comprehensive development plan programs and plan open space strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Classification of Urban Spaces: An Attempt to Classify Al-Baha City Urban Spaces Using Carmona’s Classification

Alzahrani

2022

SAGE Open

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Street Voids: Analyzing Street-Level Walkability Based on 3D Morphology and Remotely Accessible Urban Data

Ensari

Beirão

Özkar

2023

Communications in Computer and Information Science

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Urban planning and design approaches that aim to leverage walking as a sustainable means of transportation require a thorough understanding of the built environment. Information regarding density, diversity, accessibility, and attractiveness of streets is critical to assess walkability, yet it is also resource-intensive to acquire through traditional methods. We present a computational analysis method that captures and aggregates information on walkability indicators encapsulated in the 3d morphology, street-view imagery, and POI data of streets, using a 3d component called the Street Void [1]. This component builds on the Convex and Solid-Void models [2] which are 3d representations of open-urban spaces informed by the interrelationships between topography, surrounding buildings and other immediate physical boundaries, and facilitates the quantitative evaluation of walkability attributes. The method is unique in that it allows for the walkability evaluation of urban open spaces in the micro level, with a semi-automated algorithm and utilizing remotely accessible urban data. We present the implementation of this analysis on four neighborhoods of Istanbul and Lisbon, demonstrating insight drawn from its quantitative output. The research interconnects knowledge in the domains of computational design, behavioral psychology, urban management, and planning; with the contribution of a novel quantitative analysis of streets to inform urban decision-making processes.

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