Evidence map›Paper›PMID 40376485›Full record

ArticleFrontiers in psychology2025

Research on the influence of the visual perception characteristics of fitness trail landscape space based on psychological perception: a case study of Hunnan District, Shenyang, China.

Wenli Zhu, Zikun Chen, Xiaojun Wang, Feng Hu

Abstract read
In one paragraph

Article in Frontiers in psychology, 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
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wenli ZhuSchool of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang, China.
Zikun ChenSchool of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang, China.
Xiaojun WangSchool of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang, China.
Feng HuSchool of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the multidisciplinary method of collaborative psychology, sociology and environmental design research, this study conducts a quantitative study on the relationship between the visual perception of fitness trail landscape space and the psychological perceptions of fitness activities, providing data-driven references for the design of fitness trials. First, self-image acquisition is used to form a fitness trail landscape space image material library including 646 pictures. Second, we identify the user preferences for the composition of the main landscape elements of fitness trails, with subsequent research focusing on the top two preference combinations, namely, "plant-plant" and "plant-water." Third, on the basis of the results of the semistructured interviews, a word frequency analysis is conducted, and the visual perception feature index framework of the fitness trail landscape space containing 12 indicators is constructed in combination with the relevant literature. An image semantic segmentation process, along with manual auditing, is applied to the self-collected images, resulting in a dataset of visual perception characteristic indicators. Furthermore, based on the KANO model, a psychological perception evaluation framework is constructed, and psychological perception evaluation datasets are obtained by using the semantic differential (SD) method. Finally, correlation analysis, multiple regression, and curve fitting are applied to the two datasets and the relevant threshold ranges are obtained. The results show that within the "plant-plant" combination, the optimal threshold for the degree of enclosure is 66-81%, the optimal threshold for the green view rate is 62-78%, the optimal threshold for the degree of openness of the sky is 2.2-3.2%, and the optimal threshold for the building façade area ratio is 0-10%. For the "plant-water" combination, the optimal threshold for the green view rate is 58-68%, the optimal threshold for the openness of the sky is 4.1-6.0%, the optimal threshold for the water area ratio is 0.75-1.75%, and the optimal threshold for the road area ratio is 33-43%.

Indexed as

fitness trailimage semantic segmentationpsychological perceptionSD methodvisual perception of landscape space

Identifiers

PMID40376485
PMCPMC12078341

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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.