Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”

This paper explores the link between the current vision of the “smart city” and the notion of urban autopoiesis understood as self-organized/managed urban systems. It seeks to highlight how the use of GIS analysis, applied to the study of informal settlements, can provide useful information to under...

Full description

Bibliographic Details
Main Authors: Valerio Di Pinto, Antonio M. Rinaldi, Francesco Rossini
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/4/202
_version_ 1797539964756426752
author Valerio Di Pinto
Antonio M. Rinaldi
Francesco Rossini
author_facet Valerio Di Pinto
Antonio M. Rinaldi
Francesco Rossini
author_sort Valerio Di Pinto
collection DOAJ
description This paper explores the link between the current vision of the “smart city” and the notion of urban autopoiesis understood as self-organized/managed urban systems. It seeks to highlight how the use of GIS analysis, applied to the study of informal settlements, can provide useful information to understand the smart city paradigm. The paper argues the key idea that a smart city should not be seen only as a high-tech urban environment because the transition to smartness will need major changes in its inner structure. Using a combination of quantitative and qualitative GIS analysis methods, this study examines the case of the BaSECo Compound, one of the densest informal settlements in Metro Manila (Philippines), with the aim of both generating a comprehensive morphological analysis of this dynamic urban area as well as contributing to the configurational theory of the smart city. The results suggest that the analysis of autopoietic urban systems could expand our understanding of how the structure of the city could evolve to accommodate the needs of its citizens and creating more resilient and inclusive communities.
first_indexed 2024-03-10T12:54:18Z
format Article
id doaj.art-8395904de68f4d4faca13f46e8b070bc
institution Directory Open Access Journal
issn 2220-9964
language English
last_indexed 2024-03-10T12:54:18Z
publishDate 2021-03-01
publisher MDPI AG
record_format Article
series ISPRS International Journal of Geo-Information
spelling doaj.art-8395904de68f4d4faca13f46e8b070bc2023-11-21T12:04:31ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-03-0110420210.3390/ijgi10040202Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”Valerio Di Pinto0Antonio M. Rinaldi1Francesco Rossini2Dipartimento di Ingegneria Civile, Edile e Ambientale, Università di Napoli Federico II, Via Claudio, 21, 80125 Naples, ItalyDipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, Via Claudio, 21, 80125 Naples, ItalySchool of Architecture, The Chinese University of Hong Kong (CUHK), Lee Shau Kee Architecture Building, Sha Tin, Hong KongThis paper explores the link between the current vision of the “smart city” and the notion of urban autopoiesis understood as self-organized/managed urban systems. It seeks to highlight how the use of GIS analysis, applied to the study of informal settlements, can provide useful information to understand the smart city paradigm. The paper argues the key idea that a smart city should not be seen only as a high-tech urban environment because the transition to smartness will need major changes in its inner structure. Using a combination of quantitative and qualitative GIS analysis methods, this study examines the case of the BaSECo Compound, one of the densest informal settlements in Metro Manila (Philippines), with the aim of both generating a comprehensive morphological analysis of this dynamic urban area as well as contributing to the configurational theory of the smart city. The results suggest that the analysis of autopoietic urban systems could expand our understanding of how the structure of the city could evolve to accommodate the needs of its citizens and creating more resilient and inclusive communities.https://www.mdpi.com/2220-9964/10/4/202smart cityurban autopoiesisinformal settlementsGISconfigurational analysisurban morphology
spellingShingle Valerio Di Pinto
Antonio M. Rinaldi
Francesco Rossini
Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
ISPRS International Journal of Geo-Information
smart city
urban autopoiesis
informal settlements
GIS
configurational analysis
urban morphology
title Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
title_full Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
title_fullStr Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
title_full_unstemmed Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
title_short Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the “Smart Perspective”
title_sort learning from the informality using gis tools to analyze the structure of autopoietic urban systems in the smart perspective
topic smart city
urban autopoiesis
informal settlements
GIS
configurational analysis
urban morphology
url https://www.mdpi.com/2220-9964/10/4/202
work_keys_str_mv AT valeriodipinto learningfromtheinformalityusinggistoolstoanalyzethestructureofautopoieticurbansystemsinthesmartperspective
AT antoniomrinaldi learningfromtheinformalityusinggistoolstoanalyzethestructureofautopoieticurbansystemsinthesmartperspective
AT francescorossini learningfromtheinformalityusinggistoolstoanalyzethestructureofautopoieticurbansystemsinthesmartperspective