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Can Public Spaces Alleviate Poverty-Related Feelings? Content Analysis of Vision 2030 and Egyptian Residents’ Storytelling

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 5, v. 13
Page(s): 1328
DOI: 10.3390/buildings13051328
Abstract:

This study argues that Vision 2030 and social housing should consider the elements of the sociocultural dimension of urban design (SDUD) to alleviate urban poverty-induced feelings. By examining public spaces in the context of Vision 2030 and the implementation of social housing projects, this study aims to provide a theoretical framework that may assist city policymakers in rethinking the role of public spaces in alleviating poverty-related feelings. A review of the relevant literature explores the SDUD elements and builds an index to measure poverty through bibliometric and content analysis. This index was used to analyze the gaps in Vision 2030 in South Africa, Kenya, and Egypt, which we randomly chose. It focused on SDUD elements, social housing, and public spaces. We empirically examined the role of public spaces in alleviating poverty-related feelings using the SDUD index. We applied episodic narrative and interview-based storytelling techniques to a limited group of poor residents in the Al Asmarat Housing Project in Mokattam, Cairo, Egypt. This interview discusses the role of public spaces in reducing poverty-related feelings. The results focus on exploring the four SDUD elements of poverty and examining how public spaces alleviate poverty-induced feelings. Vision 2030 revolves around SDUD elements, social housing, and public spaces. Urban design policies can alleviate poverty in development projects for the poor. Integrating urban design policies into Vision 2030 makes city dwellers in developing countries feel less inferior.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10728217
  • Published on:
    30/05/2023
  • Last updated on:
    01/06/2023
 
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