Evidence map›Paper›PMID 40140652›Full record

ArticleScientific reports2025

Research on the influence of spontaneous commercial space on the commercial vitality of historical and cultural districts.

Ruoyao Wang, Wei Shang, Guoliang Zhang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ruoyao WangSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China.
Wei ShangSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China. 57411518@qq.com.
Guoliang ZhangSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China.

Funding

Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology MOF202318The Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes 2020EJB004The Social Science Foundation of Hubei Province of China HBSKJJ20243324
6 · The paper itself

Abstract

Spontaneous commercial spaces play a crucial role in shaping the vitality of historic districts, yet their spatial characteristics and impact on commercial activity remain understudied. This study employs Mask R-CNN deep learning, random forest regression analysis, and SHAP (Shapley Additive Explanations) to systematically identify and quantify the influence of spontaneous commercial spaces on commercial vitality. Based on a dataset comprising 4217 annotated images collected from Wuhan's Tanhualin Historic District, the study classifies spontaneous commercial spaces into five spatial types and examines their correlation with commercial vitality distribution. The results reveal that convex and scatter-occupying spontaneous spaces have the most significant positive impact, increasing commercial vitality by an average of 22.4% and 16.8%, respectively. SHAP analysis further highlights nonlinear interactions between crowd density and spatial typology, demonstrating that high-density areas amplify the contribution of convex spaces to vitality. Additionally, the spatial density of spontaneous commercial spaces shows a strong correlation with pedestrian flow intensity (R

Indexed as

Commercial vitalityHistorical and cultural districtsMask R-CNNSpontaneous spaces

Identifiers

PMID40140652
PMCPMC11947218

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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.