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Industrial housing clusters in nineteenth-century Lisbon: finding spatial patterns

Published online by Cambridge University Press:  10 August 2023

Gonçalo Antunes*
Affiliation:
Interdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities (NOVA FCSH), Lisbon, Portugal
*
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Abstract

This article aims to analyse housing solutions used in nineteenth-century Lisbon to deal with explosive demographic and urban development. It particularly focuses on two specific types of industrial housing ensembles created in Lisbon called pátios and vilas operárias. The goal of this article is to analyse the spatial distribution of pátios and vilas operárias in Lisbon. Through the potential of geographic information systems, we aim to understand in a spatial-quantitative way the spatial patterns of these kinds of industrial housing ensembles for the most deprived population. To do so, we used spatial modelling and spatial analysis procedures, including simple spatial distribution, mean centre, standard distance, directional distance and density estimation (hotspots). The new contribution of this article lies in the increase of scientific knowledge about these forms of working-class housing – the pátios and vilas operárias – and their spatial implementation in Lisbon in the second half of the nineteenth century.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. Spatial distribution of pátios.

Figure 1

Figure 2. Spatial density of pátios and hotspot identification.

Figure 2

Table 1. Steps involved in the spatial-quantitative analysis

Figure 3

Figure 3. Spatial distribution of vilas operárias.

Figure 4

Figure 4. Spatial density of vilas operárias and hotspot identification.

Figure 5

Figure 5. Pátios and vilas operárias mean centre.

Figure 6

Figure 6. Pátios and vilas operárias standard distance and directional distance.