Evidence map›Paper›PMID 33145149›Full record

ArticleSustainable cities and society2020

Spatial relationship between land development pattern and intra-urban thermal variations in Taipei.

Wan-Yu Shih, Sohail Ahmad, Yu-Cheng Chen, Tzu-Ping Lin, Leslie Mabon

Abstract read
In one paragraph

Article in Sustainable cities and society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors.

Wan-Yu ShihDepartment of Urban Planning and Disaster Management, Ming-Chuan University, Taiwan.
Sohail AhmadGCRF Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods (SHLC), Urban Studies, School of Social and Political Sciences, University of Glasgow, United Kingdom.
Yu-Cheng ChenTaiwan Building Technology Center, National Taiwan University of Science and Technology, Taiwan.
Tzu-Ping LinDepartment of Architecture, National Cheng Kung University, Taiwan.
Leslie MabonScottish Association for Marine Science, Scotland, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

This paper assesses the influence of land development patterns on intra-urban thermal variation in a densely-developed subtropical city, considering joint effect from greenspace pattern and built-up geometry. Despite growing research on urban climates, research at a scale that can support urban planning with scientificallyinformed strategies is still not as well documented for warm climate cities as for temperate cities. In response, this paper uses land surface temperature and geoinformation to assess the subtropical city of Taipei, Taiwan. Results show cooler environments are not only associated with natural surfaces, but also their interrelation with different spatial arrangement of buildings. An open layout tends to have lower temperature at low- to mid-rise buildings, whereas a compact layout is the coolest form for high-rise buildings. Cooling benefit from open layouts is, however, related to an increase in greenery. Clustering distribution of greenspaces produces more notable cooling. Accordingly, this paper proposes four heat mitigation strategies for Taipei: 1) increasing the amount of water bodies and vegetation, with greater coverage and coherence; 2) taking building height and shadow into account during regeneration/development; 3) increasing spacing and greenery between low- to midrise buildings; and 4) avoiding construction of compact low-rise buildings with corrugated iron steel.

Indexed as

Climate change adaptationLand surface temperatureLocal climate zonesUrban geometryUrban heat island effectUrban planning

Identifiers

PMID33145149
PMCPMC7493750

What OpenQuestion holds

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Registered trials

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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.