Evidence map›Paper›PMID 39747397›Full record

ArticleScientific reports2025

Key factors in coastal village's street planning for marine climate adaptation.

Yuan Zheng, Feng Liang, Bifeng Zhu, Tingting Hong, Danhua Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Yuan ZhengSchool of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Feng LiangSchool of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Bifeng ZhuCollege of Urban Construction, Zhejiang Shuren University, Hangzhou, 310023, China. 512126134@qq.com.
Tingting HongSchool of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Danhua XuSchool of Spatial Planning and Design, Hangzhou City University, Hangzhou, 310015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine climate significantly influences the spatial morphology of coastal village's streets. However, research on coastal villages lacks spatial parameterization analysis that can cope with the complex climatic environment. Focusing on the coastal village's street in Fuzhou City, China, this paper studies the relationship between street space morphology and the impact of extreme heat and wind conditions. Thermal comfort degree and the average wind speed are main optimization objectives. By using parameterization techniques to establish a dynamic model and conducting multi-objective optimization driven by genetic algorithms, the degree of influence of morphological indicators and climate indicators is revealed. The conclusions of the study indicate that the morphological indicators of the main space have a more significant impact on the climatic environment than the morphological indicators of the interfaces on either side of the street. The influence of thermal comfort indicators on the street space within the climate environment is greater than that of wind speed indicators. This study concludes by proposing a ranking of key morphological indicators along with their optimal intervals for coastal villages adapted to the marine climate. The key morphological indicators, listed in order of importance, include appropriate street widths (2.3-4.3 m), eave height for single-storey buildings (2.0-4.6 m), eave height for double-storey buildings (5.4-7.7 m), eave depth (0.8-1.1 m for brick-timber dwellings and 0.3-0.6 m for masonry dwellings), roof slope (20-28°), entrance space depth (0.8-1.3 m), balcony overhang depth (0.6-0.7 m), colonnade depth (1.5-2.4 m), street orientation (NE-SW) and building depth (3.2-5.0 m). This study provides an empirical reference for climate-adapted village design and renewal.

Indexed as

Coastal village’s StreetCoupling relationshipGenetic algorithmMarine climateMulti-objective optimization

Identifiers

PMID39747397
PMCPMC11696089

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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.