Enhancing Perceived Restorativeness in Urban Commercial Pedestrian Streets: An Empirical Study on the Intervention of Public Art
Abstract
1. Introduction
1.1. The Urban Modern Environment and Human Predicament
1.2. Literature Review
1.2.1. Restorativeness
1.2.2. Restorative Environments
1.2.3. The Restorative Potential of Urban Commercial Streets
1.2.4. Restorativeness of Public Art
1.3. Research Objectives
1.4. Research Framework
2. Materials and Methods
2.1. Study Area
2.2. Visual Stimulus Materials
- Step 1: Assessment of Wuhan Cultural Symbols
- Step 2: Generation of Images for Evaluation
2.3. Questionnaire Design
2.4. Participants
2.5. Statistical Analysis
3. Results
3.1. Reliability
3.2. Comparison of Restorative Capacity Between Streets with and Without Public Art
3.3. Comparison of Restorative Capacity Among Public Art with Different Forms and Themes
3.4. The Influence of Residence History in Wuhan on Perceived Restorativeness of Public Art
4. Discussion
4.1. The Restorative Potential of Public Art in Commercial Pedestrian Streets
4.2. Differences in Restorativeness Among Different Types of Public Art
4.3. The Influence of Residence History on Perceived Restorativeness of Public Art
5. Conclusions
5.1. Research Summary
5.2. Limitations and Future Research
- The participant sample consisted primarily of young adults (aged 18–35). Because recruitment relied mainly on online academic and social media channels, the sample showed limited diversity in age and sociodemographic characteristics, and systematically excluded individuals with limited access to digital resources, particularly older adults. While research has established the validity of using university student samples [59], subsequent studies should expand to include broader and more diverse participant groups to derive more precise and generalizable conclusions. Specifically, such future studies need to analyze whether and how participants from different age groups vary in their understanding of and preference for digital images, artistic themes, and representational forms, and whether these differences influence the restorative efficacy.
- Due to the lack of comprehensive sociodemographic data collection, the present questionnaire-based study could not fully examine the influence of background factors such as occupation, income, or household characteristics. Missing data may limit the depth and generalizability of the findings. For example, some studies suggest that art professionals tend to prefer figurative art, whereas non-professionals may show no clear preference in artistic form, potentially because professionals can better perceive artistic meaning, craftsmanship, and decorative qualities [48,87,88]. Other studies report contrasting patterns, indicating that professionals may prefer abstract art [89]. These divergent perspectives were not examined in the current study. Future research should investigate how such demographic and professional variables shape evaluations, thereby improving the robustness and relevance of the conclusions.
- The study context was a typical commercial pedestrian street in China, and the cultural background of the public art themes was rooted in the Central China region associated with Wuhan. To overcome this limitation, the findings should also be tested in other regions across China and worldwide.
- This study only evaluated the impact of the form and theme of public art on restorativeness. However, public art is a complex artistic category, and factors such as its shape, color, material, scale, quantity, and location—which may influence restorative quality—were not assessed and warrant further investigation.
- Photographic stimuli cannot represent the full, multisensory experience of a streetscape. When entering a pedestrian street, additional sensory stimuli such as auditory, olfactory, and tactile inputs may influence restorative evaluations. Future research could employ methods such as immersive virtual reality (VR) to more authentically simulate streetscape environments, thereby enhancing the practical relevance of the studies.
- This study’s online questionnaire approach has certain limitations. Although large-scale random sampling helped balance individual and device variations, participants evaluated the scenes under an instructed, assumed state of fatigue. Their actual physiological and emotional states at the time of response were not measured, which could have introduced variability into the ratings. Future research could validate these findings in controlled laboratory settings by incorporating physiological measurements and employ more covert experimental designs to reduce potential demand characteristics.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Artifact Types | Vote Count | Animal and Plant Types | Vote Count | Architecture Types | Vote Count |
|---|---|---|---|---|---|
| Zeng Houyi’s chime bells | 42 | phoenix | 37 | Yellow Crane Tower | 45 |
| Sword of Goujian, King of Yue | 2 | lotus root | 4 | Qingchuan Pavilion | 0 |
| Drum with Tiger-shaped Base and Bird-shaped Stand | 1 | cherry blossom | 3 | Guqin Platform | 0 |
| Zun and Pan Ritual Vessels of Marquis Yi of Zeng | 0 | finless porpoise | 1 | Gude Temple | 0 |
| Blue-and-White “Four Passions” Plum Vase from the Yuan Dynasty | 0 | White headed duck | 0 | Jianghan Pass | 0 |
| Attribute Features | Classification | Number | Percentage |
|---|---|---|---|
| Gender | Male | 88 | 45.13% |
| Female | 107 | 54.87% | |
| Age | Under 18 | 2 | 1.03% |
| 18–35 | 176 | 90.26% | |
| 36–60 | 16 | 8.21% | |
| Over 60 | 1 | 0.51% | |
| Academic qualification | Junior high school and below | 3 | 1.54% |
| High school/Vocational school | 10 | 5.13% | |
| Undergraduate/Associate degree | 155 | 79.49% | |
| Master’s degree or above | 27 | 13.85% | |
| The impact of emotions on work and life over the past month | It has no impact at all | 38 | 19.49% |
| Slight impact | 82 | 42.05% | |
| Some impacts | 56 | 28.72% | |
| Significant impact | 19 | 9.74% | |
| Extreme impact | 0 | 0% | |
| Have you lived in Wuhan for more than two years | Yes | 86 | 44.1% |
| No | 109 | 55.9% |
| Paired Condition | Mean | Std. Deviation | T (df) | Sig. (2-Tailed) | Mean Difference |
|---|---|---|---|---|---|
| With Public Ar | 6.35 | 1.65 | 2.368 (194) | 0.019 | 0.32 |
| Without Public Art | 6.03 | 2.03 |
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial η2 | Observed Power |
|---|---|---|---|---|---|---|---|
| Form | 22.912 | 1 | 22.912 | 33.446 | <0.001 | 0.147 | 1.000 |
| Error (Form) | 132.897 | 194 | 0.685 | ||||
| Theme | 6.271 | 2 | 3.136 | 5.161 | 0.006 | 0.026 | 0.825 |
| Error (Theme) | 235.723 | 388 | 0.608 | ||||
| Form × Theme | 2.303 | 2 | 1.152 | 2.036 | 0.132 | 0.010 | 0.419 |
| Error (Form × Theme) | 219.405 | 388 | 0.565 |
| Form | Mean (M) | Std. Error (SE) | 95% Confidence Interval | |
|---|---|---|---|---|
| Lower Bound | Upper Bound | |||
| Abstract | 6.206 | 0.122 | 5.965 | 6.447 |
| Figurative | 6.485 | 0.120 | 6.250 | 6.721 |
| Comparison | Mean Difference | Std. Error | Sig. b | 95% Confidence Interval for Difference b | |
|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||
| Abstract vs. Figurative | −0.280 * | 0.048 | <0.001 | −0.375 | −0.184 |
| Theme | Mean (M) | Std. Error (SE) | 95% Confidence Interval | |
|---|---|---|---|---|
| Lower Bound | Upper Bound | |||
| Artifact | 6.243 | 0.121 | 6.004 | 6.482 |
| Flora & Fauna | 6.385 | 0.122 | 6.144 | 6.626 |
| Architecture | 6.409 | 0.125 | 6.162 | 6.655 |
| Comparison | Mean Difference | Std. Error | Sig. b | 95% Confidence Interval for Difference b | |
|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||
| Artifact vs. Flora & Fauna | −0.142 * | 0.052 | 0.021 | −0.268 | −0.016 |
| Artifact vs. Architecture | −0.166 * | 0.058 | 0.014 | −0.306 | −0.026 |
| Flora & Fauna vs. Architecture | −0.024 | 0.057 | 1.000 | −0.162 | 0.115 |
| Group | n | Mean (M) | Std. Deviation (SD) | T (df) | Sig. (2-Tailed) |
|---|---|---|---|---|---|
| With Residence History | 86 | 6.44 | 1.76 | 1.108 (193) | 0.269 |
| Without Residence History | 109 | 6.19 | 1.42 |
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Liu, L.; Zhou, X. Enhancing Perceived Restorativeness in Urban Commercial Pedestrian Streets: An Empirical Study on the Intervention of Public Art. Buildings 2026, 16, 593. https://doi.org/10.3390/buildings16030593
Liu L, Zhou X. Enhancing Perceived Restorativeness in Urban Commercial Pedestrian Streets: An Empirical Study on the Intervention of Public Art. Buildings. 2026; 16(3):593. https://doi.org/10.3390/buildings16030593
Chicago/Turabian StyleLiu, Letao, and Xinyuan Zhou. 2026. "Enhancing Perceived Restorativeness in Urban Commercial Pedestrian Streets: An Empirical Study on the Intervention of Public Art" Buildings 16, no. 3: 593. https://doi.org/10.3390/buildings16030593
APA StyleLiu, L., & Zhou, X. (2026). Enhancing Perceived Restorativeness in Urban Commercial Pedestrian Streets: An Empirical Study on the Intervention of Public Art. Buildings, 16(3), 593. https://doi.org/10.3390/buildings16030593

