Santa Marta Urban Grammar
Unraveling the spontaneous occupation of Brazilian informal settlements
Bibliographic Data
| ID | 21247758 |
|---|---|
| Authors | Debora Verniz (0000-0001-8436-5821, Pennsylvania State University), José P Duarte (0000-0002-3826-3987, Pennsylvania State University, corresponding author) |
| Year | 2021 |
| Volume | 48 |
| Issue | 4 |
| Pages | 810-827 |
| Publication date | 2021-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2399808319897625 |
| OpenAlex | W2996954385 |
| Language | EN |
| Citations received | 3 |
| References cited | 10 |
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
Archaeology · Business · Civil engineering · Economic geography · Economic growth · Economics · Environmental planning · Geography · Grammar · Human settlement · Linguistics · Population · Sociology · Urban planning · Urban space · Urbanization · Architecture and Computational Design · Engineering · Land Use and Ecosystem Services · Urban Design and Spatial Analysis
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |