Santa Marta urban grammar: unraveling the spontaneous occupation of Brazilian informal settlements

<jats:p> The World experiences a significant growth in population coupled with fast urbanization processes particularly in the Southern hemisphere, which puts an enormous pressure on cities, giving rise to numerous social, infrastructural, ecological, and urban problems. In this context, the formal sector is often unable to provide adequate housing for this growing population who resorts to self-help processes that lead to informal settlements. This paper focuses on the development of an analytical shape grammar for Santa Marta, the iconic settlement used as a critical case study, whose rules describe the generation of the self-constructed urban fabric. The methodology includes an analysis of the built shape and the physical urban relations. The resulting model is a shape grammar that recreates the urban fabric of Santa Marta. Future work includes the evaluation of the settlement’s urban space and the corresponding transformation of the analytic grammar to generate a synthetic grammar for planning new housing settlements. /jats:p

Verniz, Santa Marta Urban Grammar: Unraveling the spontaneous occupation of Brazilian informal settlements, 'Environment and Planning B: Urban Analytics and City Science' (48, 4) pp. 810-827. Copyright © 2020. DOI: 10.1177/2399808319897625. Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please follow our Process for Requesting Permission.

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Work Title Santa Marta urban grammar: unraveling the spontaneous occupation of Brazilian informal settlements
Access
Open Access
Creators
  1. Debora Verniz
  2. José P Duarte
License CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)
Work Type Article
Publisher
  1. SAGE Publications
Publication Date January 2, 2020
Publisher Identifier (DOI)
  1. 10.1177/2399808319897625
Source
  1. Environment and Planning B: Urban Analytics and City Science
Deposited September 09, 2021

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