Evidence map›Paper›PMID 35682007›Full record

ArticleInternational journal of environmental research and public health2022

Impacts of Spatial Components on Outdoor Thermal Comfort in Traditional Linpan Settlements.

Lili Zhang, Haoru Liu, Dong Wei, Fei Liu, Yanru Li, Haolin Li, Zhuojun Dong, Jingyue Cheng, Lei Tian, Guomin Zhang and 1 more

Abstract read
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In one paragraph

Article in International journal of environmental research and public health, 2022. 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.

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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

11 authors.

Lili ZhangCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Haoru LiuCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Dong WeiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0003-4774-2944
Fei LiuCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Yanru LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Haolin LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Zhuojun DongCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Jingyue ChengCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Lei TianCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Guomin ZhangCivil and Infrastructure Engineering Discipline, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-3503-7431
Long ShiCivil and Infrastructure Engineering Discipline, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional settlements have received increasing attention because of China’s rural revitalization. Traditional settlements with excellent thermal comfort in rural areas can attract urban residents, so it is vital to explore the thermal comfort of traditional settlements. For this paper, we studied Linpan settlements, which are scattered traditional settlements that are mainly composed of buildings and trees. Firstly, we visually interpreted Linpan settlements by ArcGIS. A total of 1194 Linpan settlements were classified to obtain the spatial components. The statistical results of Linpan were used in the subsequent experimental design. Then ENVI-met was used to simulate 25 different spatial forms of Linpan obtained by statistical results and orthogonal experiment to explore the most comfortable Linpan layout. The results showed the following: (1) Linpan could improve thermal comfort in both winter and summer. Adjusting the spatial arrangement could maximally increase the mean physiological equivalent temperature (PET) of the whole Linpan area by 1.03 °C in winter and reduce it by 3.02 °C in the summer. (2) At different time points, the influence of different space factors on thermal comfort was also different. The overall significance of each factor on thermal comfort was addressed as follows: vegetation coverage (highly significant) > building number (highly significant) > building form (highly significant) > vegetation distribution (significant), but the building distribution was not significant. (3) The best spatial arrangement scheme was high vegetation coverage, a large number of buildings, tri-courtyard buildings, surrounding vegetation distribution, and surrounding building distribution. The innovation of this paper lies in introduced thermal comfort into the traditional Linpan settlement, extracted spatial features of buildings and vegetation by visual interpretation combined with GIS software, and the fact that we conducted the experimental design of microclimate and thermal comfort based on spatial features. The research results can guide the outdoor thermal environment renewal design of Linpan and other traditional settlements.

Indexed as

MicroclimateTreesCitiesEnvironment DesignSeasonsTemperatureENVI-metLinpanorthogonal testoutdoor thermal comfortspace compositiontraditional settlement

Identifiers

PMID35682007
PMCPMC9179965

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LicenceCC BY
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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.