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Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories

The application of last-generation spatial data modelling, integrating Earth Observation, population, economic and other spatially explicit data, enables insights into the sustainability of the global urbanisation processes with unprecedented detail, consistency, and international comparability. In...

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Autores principales: Schiavina, Marcello, Melchiorri, Michele, Freire, Sergio, Florio, Pietro, Ehrlich, Daniele, Tommasi, Pierpaolo, Pesaresi, Martino, Kemper, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097785/
https://www.ncbi.nlm.nih.gov/pubmed/35685950
http://dx.doi.org/10.1016/j.habitatint.2022.102543
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author Schiavina, Marcello
Melchiorri, Michele
Freire, Sergio
Florio, Pietro
Ehrlich, Daniele
Tommasi, Pierpaolo
Pesaresi, Martino
Kemper, Thomas
author_facet Schiavina, Marcello
Melchiorri, Michele
Freire, Sergio
Florio, Pietro
Ehrlich, Daniele
Tommasi, Pierpaolo
Pesaresi, Martino
Kemper, Thomas
author_sort Schiavina, Marcello
collection PubMed
description The application of last-generation spatial data modelling, integrating Earth Observation, population, economic and other spatially explicit data, enables insights into the sustainability of the global urbanisation processes with unprecedented detail, consistency, and international comparability. In this study, the land use efficiency indicator, as developed in the Sustainable Development Goals, is assessed globally for the first time at the level of Functional Urban Areas (FUAs). Each FUA includes the city and its commuting zone as inferred from statistical modelling of available spatial data. FUAs represent the economic area of influence of each urban centre. Hence, the analysis of land consumption within their boundary has significance in the fields of spatial planning and policy analyses as well as many other research areas. We utilize the boundaries of more than 9,000 FUAs to estimate the land use efficiency between 1990 and 2015, by using population and built-up area data extracted from the Global Human Settlement Layer. This analysis shows how, in the observed period, FUAs in low-income countries of the Global South evolved with rates of population growth surpassing the ones of land consumption. However, in almost all regions of the globe, more than half of the FUAs improved their land use efficiency in recent years (2000–2015) with respect to the previous decade (1990–2000). Our study concludes that the spatial expansion of urban areas within FUA boundaries is reducing compactness of settlements, and that settlements located within FUAs do not display higher land use efficiency than those outside FUAs.
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spelling pubmed-90977852022-06-07 Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories Schiavina, Marcello Melchiorri, Michele Freire, Sergio Florio, Pietro Ehrlich, Daniele Tommasi, Pierpaolo Pesaresi, Martino Kemper, Thomas Habitat Int Article The application of last-generation spatial data modelling, integrating Earth Observation, population, economic and other spatially explicit data, enables insights into the sustainability of the global urbanisation processes with unprecedented detail, consistency, and international comparability. In this study, the land use efficiency indicator, as developed in the Sustainable Development Goals, is assessed globally for the first time at the level of Functional Urban Areas (FUAs). Each FUA includes the city and its commuting zone as inferred from statistical modelling of available spatial data. FUAs represent the economic area of influence of each urban centre. Hence, the analysis of land consumption within their boundary has significance in the fields of spatial planning and policy analyses as well as many other research areas. We utilize the boundaries of more than 9,000 FUAs to estimate the land use efficiency between 1990 and 2015, by using population and built-up area data extracted from the Global Human Settlement Layer. This analysis shows how, in the observed period, FUAs in low-income countries of the Global South evolved with rates of population growth surpassing the ones of land consumption. However, in almost all regions of the globe, more than half of the FUAs improved their land use efficiency in recent years (2000–2015) with respect to the previous decade (1990–2000). Our study concludes that the spatial expansion of urban areas within FUA boundaries is reducing compactness of settlements, and that settlements located within FUAs do not display higher land use efficiency than those outside FUAs. Pergamon Press 2022-05 /pmc/articles/PMC9097785/ /pubmed/35685950 http://dx.doi.org/10.1016/j.habitatint.2022.102543 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schiavina, Marcello
Melchiorri, Michele
Freire, Sergio
Florio, Pietro
Ehrlich, Daniele
Tommasi, Pierpaolo
Pesaresi, Martino
Kemper, Thomas
Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title_full Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title_fullStr Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title_full_unstemmed Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title_short Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories
title_sort land use efficiency of functional urban areas: global pattern and evolution of development trajectories
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097785/
https://www.ncbi.nlm.nih.gov/pubmed/35685950
http://dx.doi.org/10.1016/j.habitatint.2022.102543
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