Evidence map›Paper›PMID 27606592›Full record

ArticlePloS one2016

A Heat Vulnerability Index: Spatial Patterns of Exposure, Sensitivity and Adaptive Capacity for Santiago de Chile.

Luis Inostroza, Massimo Palme, Francisco de la Barrera

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment.International journal of environmental research and public health · 2023
    Article
  7. Characteristics of Households' Vulnerability to Extreme Heat: An Analytical Cross-Sectional Study from India.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
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  11. Article
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  13. Article
  14. Is Sensible Heat Flux Useful for the Assessment of Thermal Vulnerability in Seoul (Korea)?International journal of environmental research and public health · 2020
    Article
  15. Article
  16. Article
  17. A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia.International journal of environmental research and public health · 2018
    Article
  18. 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

3 authors.

Luis InostrozaInstitute of Photogrammetry and Remote Sensing, Dresden University of Technology, D-01062, Dresden, Germany.ORCID http://orcid.org/0000-0002-6303-4529
Massimo PalmeEscuela de Arquitectura, Universidad Católica del Norte, Angamos 610, Antofagasta, Chile.
Francisco de la BarreraInstituto de Geografía & Centro del Desarrollo Urbano Sustentable, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago de Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change will worsen the high levels of urban vulnerability in Latin American cities due to specific environmental stressors. Some impacts of climate change, such as high temperatures in urban environments, have not yet been addressed through adaptation strategies, which are based on poorly supported data. These impacts remain outside the scope of urban planning. New spatially explicit approaches that identify highly vulnerable urban areas and include specific adaptation requirements are needed in current urban planning practices to cope with heat hazards. In this paper, a heat vulnerability index is proposed for Santiago, Chile. The index was created using a GIS-based spatial information system and was constructed from spatially explicit indexes for exposure, sensitivity and adaptive capacity levels derived from remote sensing data and socio-economic information assessed via principal component analysis (PCA). The objective of this study is to determine the levels of heat vulnerability at local scales by providing insights into these indexes at the intra city scale. The results reveal a spatial pattern of heat vulnerability with strong variations among individual spatial indexes. While exposure and adaptive capacities depict a clear spatial pattern, sensitivity follows a complex spatial distribution. These conditions change when examining PCA results, showing that sensitivity is more robust than exposure and adaptive capacity. These indexes can be used both for urban planning purposes and for proposing specific policies and measures that can help minimize heat hazards in highly dynamic urban areas. The proposed methodology can be applied to other Latin American cities to support policy making.

Indexed as

CitiesHot TemperatureChileCluster AnalysisGeographyPlantsPrincipal Component AnalysisStatistics as Topic

Identifiers

PMID27606592
PMCPMC5015864

What OpenQuestion holds

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LicenceCC BY
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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.