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Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)

Current urban, health and social challenges demand new multidisciplinary assessment systems for decision-making in the built environment from the perspective of the elderly, as an even more vulnerable population. This research contributes with a Multidimensional Assessment System of the Built Enviro...

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Autores principales: Mercader-Moyano, Pilar, Flores-García, Mariana, Serrano-Jiménez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388911/
https://www.ncbi.nlm.nih.gov/pubmed/32834940
http://dx.doi.org/10.1016/j.scs.2020.102422
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author Mercader-Moyano, Pilar
Flores-García, Mariana
Serrano-Jiménez, Antonio
author_facet Mercader-Moyano, Pilar
Flores-García, Mariana
Serrano-Jiménez, Antonio
author_sort Mercader-Moyano, Pilar
collection PubMed
description Current urban, health and social challenges demand new multidisciplinary assessment systems for decision-making in the built environment from the perspective of the elderly, as an even more vulnerable population. This research contributes with a Multidimensional Assessment System of the Built Environment (MASBE) that provides an integral diagnosis on the perceived suitability of urban and housing environments for an ageing population, whose novel approach is structured and weighted through 35 multidisciplinary variables that are organised in seven dimensions: design, accessibility, comfort, maintenance, security and health, use and control, and stimulus. The system is applied and tested in reference case studies from Spain and Mexico, in order to demonstrate its operation and replicability. The weighted and displayed results help to identify the weaknesses and strengths of each application scale, obtaining average values far from 7.50, as the ideal value for ageing in place, and certain dimensions below 5.00, discussing through a sensitivity analysis the main influencing factors, health risks and major demands of elderly residents before deciding action strategies. The key outcomes incorporate useful implications for policy-makers, promoters and construction firms by enabling assessment procedures to adapt urban and housing spaces for the elderly, thereby ensuring satisfactory proposals in the built environment.
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spelling pubmed-73889112020-07-30 Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE) Mercader-Moyano, Pilar Flores-García, Mariana Serrano-Jiménez, Antonio Sustain Cities Soc Article Current urban, health and social challenges demand new multidisciplinary assessment systems for decision-making in the built environment from the perspective of the elderly, as an even more vulnerable population. This research contributes with a Multidimensional Assessment System of the Built Environment (MASBE) that provides an integral diagnosis on the perceived suitability of urban and housing environments for an ageing population, whose novel approach is structured and weighted through 35 multidisciplinary variables that are organised in seven dimensions: design, accessibility, comfort, maintenance, security and health, use and control, and stimulus. The system is applied and tested in reference case studies from Spain and Mexico, in order to demonstrate its operation and replicability. The weighted and displayed results help to identify the weaknesses and strengths of each application scale, obtaining average values far from 7.50, as the ideal value for ageing in place, and certain dimensions below 5.00, discussing through a sensitivity analysis the main influencing factors, health risks and major demands of elderly residents before deciding action strategies. The key outcomes incorporate useful implications for policy-makers, promoters and construction firms by enabling assessment procedures to adapt urban and housing spaces for the elderly, thereby ensuring satisfactory proposals in the built environment. Elsevier Ltd. 2020-11 2020-07-29 /pmc/articles/PMC7388911/ /pubmed/32834940 http://dx.doi.org/10.1016/j.scs.2020.102422 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Mercader-Moyano, Pilar
Flores-García, Mariana
Serrano-Jiménez, Antonio
Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title_full Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title_fullStr Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title_full_unstemmed Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title_short Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)
title_sort housing and neighbourhood diagnosis for ageing in place: multidimensional assessment system of the built environment (masbe)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388911/
https://www.ncbi.nlm.nih.gov/pubmed/32834940
http://dx.doi.org/10.1016/j.scs.2020.102422
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