Evidence map›Paper›PMID 40646153›Full record

ArticleScientific reports2025

Nighttime light intensity and brightness suitability in urban functional zones.

Ming Liu, Ruicong Li, Yiwei Li, Ezzaddeen Ali Mohammed Saeed Al-Mowallad, Chenglong Wu, Wenjing Wang

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

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

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

6 authors.

Ming LiuSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China. liumingyitj@163.com.
Ruicong LiSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.
Yiwei LiSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.
Ezzaddeen Ali Mohammed Saeed Al-MowalladSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.
Chenglong WuSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.
Wenjing WangSchool of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.

Funding

The National Natural Science Foundation of China 52178067
6 · The paper itself

Abstract

The identification and distribution of urban functional zones play a crucial role in optimizing urban planning and resource allocation. The differences in brightness of the nocturnal light environment further reveal the characteristics of urban functions. This study takes the main urban area of Dalian as an example, integrates Point of Interest and OpenStreetMap data to generate functional zone samples, and proposes a multi-scale evaluation framework at the levels of administrative districts, streets, and blocks, combined with Luojia-1 night-time remote sensing imagery. The results show that: (1) Significant differences in brightness exist among functional zones within the study area, and there is a mismatch between actual demand and nighttime light brightness; (2) The Average Nighttime Radiance per Unit Area and Brightness Factor can more accurately reflect the distribution characteristics of urban nighttime light brightness; (3) Clustering based on the Brightness Factor reveals over-bright and under-bright blocks, identifying commercial and port-industry areas as hotspots of excessive nighttime lighting. This study dissects the spatial heterogeneity of the nocturnal light environment from the perspective of urban functional zoning and provides quantitative support for the development of differentiated lighting management policies.

Indexed as

Appropriateness evaluationLight risk areaMulti-source dataNighttime light environment distributionNighttime remote sensing imageryUrban functional areas

Identifiers

PMID40646153
PMCPMC12254494

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.