2022
DOI: 10.1061/(asce)up.1943-5444.0000793
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A Well-Being Index for Housing in the Central Districts of Madrid, Spain

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Cited by 2 publications
(5 citation statements)
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“…On the other hand, the micro-scale approach focuses on a single city, and evaluates its districts or neighbourhoods. So far, researchers have conducted analyses at different spatial scales, such as street blocks 12 , group blocks 15 , exogenously partitioned n neighbourhoods 9 , city districts 11 , or even buildings treated as POI data or walking circles around them 13 , 14 . Fine spatial resolution allows comparisons to be made between distinct parts of the city, identifying areas where the quality of life is low and where policy makers need to take urgent action; however, the size, proportions and shapes of the analytical units also matter.…”
Section: Related Literaturementioning
confidence: 99%
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“…On the other hand, the micro-scale approach focuses on a single city, and evaluates its districts or neighbourhoods. So far, researchers have conducted analyses at different spatial scales, such as street blocks 12 , group blocks 15 , exogenously partitioned n neighbourhoods 9 , city districts 11 , or even buildings treated as POI data or walking circles around them 13 , 14 . Fine spatial resolution allows comparisons to be made between distinct parts of the city, identifying areas where the quality of life is low and where policy makers need to take urgent action; however, the size, proportions and shapes of the analytical units also matter.…”
Section: Related Literaturementioning
confidence: 99%
“…Areas that are too large or irregular can themselves be very diverse, so that people living in the same unit can experience very different living conditions. For example, in the case of the Socioeconomic Well-Being Index, developed by Sánchez et al 11 , the analytical units are the central districts in Madrid, while in some of them (e.g. the Retiro district) the internal spatial pattern is composed of both densely populated housing estates and large areas of green spaces.…”
Section: Related Literaturementioning
confidence: 99%
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