Abstract
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.
Highlights
IntroductionInformal settlements are unique self-organized urban systems that can provide an alternative perspective to this question
Could the understanding of the mechanisms of urban autopoiesis contribute to redefining the concept of the smart city? Informal settlements are unique self-organized urban systems that can provide an alternative perspective to this question
Since the hypothesis of self-organization of the space is effective, both urban morphology and architectures should be considered as verification references because they reasonably respond to the needs of the community
Summary
Informal settlements are unique self-organized urban systems that can provide an alternative perspective to this question. Could the understanding of the mechanisms of urban autopoiesis contribute to redefining the concept of the smart city? They can be seen as living laboratories where the needs and requirements of the community can be expressed more and clearly. The first group of research outlines the smart city focusing on aspects such as governance [3], urban policies [4], urban planning [5], and sustainability [6]. There are examples of conceptual models that have developed methods to study the socio-spatial elements of the city through systems that collect and analyze events intended as changes in the state of an IT system [13]
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