Evidence map›Paper›PMID 35685950›Full record

ArticleHabitat international2022

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

Marcello Schiavina, Michele Melchiorri, Sergio Freire, Pietro Florio, Daniele Ehrlich, Pierpaolo Tommasi, Martino Pesaresi, Thomas Kemper

Abstract read
In one paragraph

Article in Habitat international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China.International journal of environmental research and public health · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marcello SchiavinaEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Michele MelchiorriEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Sergio FreireEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Pietro FlorioEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Daniele EhrlichEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Pierpaolo TommasiFincons Group, Via Torri Bianche, 10, I-20871, Vimercate, (MB), Italy.
Martino PesaresiEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.
Thomas KemperEuropean Commission, Joint Research Centre (JRC), via E. Fermi 2749, I-21027, Ispra, (VA), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AAPDEA, Abstract Achieved Density in Expansion AreaAOI, Area of interestBpC, Built-up area per capitaEC, European CommissionFAO, Food and Agriculture OrganizationFUA, Functional Urban AreaGDP, Gross Domestic ProductGHS-BUILT, GHSL built-up area spatial gridGHS-FUA, GHSL FUA layerGHSLGHS-POP, GHSL population spatial gridGHS-SMOD, GHSL settlement classification spatial gridGIS, Geospatial Information SystemGSARS, Global Strategy on Agricultural and Rural StatisticsHIC, High-Income CountriesLand consumptionLCR, Land Consumption RateLCRPGR, Land Use Efficiency indicatorLIC, Low Income CountriesLMC, Lower-Middle Income CountriesLN, Natural logarithmLUE, Land Use EfficiencyMetropolitan areasOECD, Organisation for Economic Cooperation and DevelopmentPGR, Population Growth RateSDG 11.3.1UMC, Upper-Middle Income CountriesUNDESA, United Nations, Department of Economic and Social AffairsUN, United NationsUrbanisation

Identifiers

PMID35685950
PMCPMC9097785

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.