Emotional State as a Key Driver of Public Preferences for Flower Color
Flowers, as integral elements of urban landscapes, are critical not only for aesthetic purposes but also for fostering human–nature interactions in green spaces. However, research on flower color preferences has largely been descriptive, and there is a lack of exploration of potential mechanisms inf...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Horticulturae |
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| Online Access: | https://www.mdpi.com/2311-7524/11/1/54 |
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| author | Juan She Renwu Wu Bingling Pi Jie Huang Zhiyi Bao |
| author_facet | Juan She Renwu Wu Bingling Pi Jie Huang Zhiyi Bao |
| author_sort | Juan She |
| collection | DOAJ |
| description | Flowers, as integral elements of urban landscapes, are critical not only for aesthetic purposes but also for fostering human–nature interactions in green spaces. However, research on flower color preferences has largely been descriptive, and there is a lack of exploration of potential mechanisms influencing flower color preferences, such as economic and social factors. This study created visual samples through precise color adjustment techniques and introduced the L*, a*, and b* parameters from the CIELAB color system to quantify the flower colors of the survey samples, conducting an online survey with 354 Chinese residents. The complex aesthetic process’s driving factors were unveiled through a comprehensive analysis using a Generalized Additive Model (GAM), a piecewise Structural Equation Model (SEM), and linear regression models. The results show that the public’s flower color preference is primarily related to the a* and b* parameters, which represent color dimensions in the CIELAB color space, and it is not significantly related to L* (lightness). Factors such as age, annual household income level (AI), personal income sources (PI), nature experience, and emotional state (TMD) significantly influence color preferences, with emotional state identified as the most critical factor. Lastly, linear regression models further explain the potential mechanism of the influencing factors. This study proposes a framework to assist urban planners in selecting flower colors that resonate with diverse populations, enhancing both the attractiveness of urban green spaces and their potential to promote pro-environmental behavior. By aligning flower color design with public preferences, this study contributes to sustainable urban planning practices aimed at improving human well-being and fostering deeper connections with nature. |
| format | Article |
| id | doaj-art-a97737ab28de40d391cc5ebedb779420 |
| institution | Kabale University |
| issn | 2311-7524 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Horticulturae |
| spelling | doaj-art-a97737ab28de40d391cc5ebedb7794202025-01-24T13:34:37ZengMDPI AGHorticulturae2311-75242025-01-011115410.3390/horticulturae11010054Emotional State as a Key Driver of Public Preferences for Flower ColorJuan She0Renwu Wu1Bingling Pi2Jie Huang3Zhiyi Bao4College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaCollege of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaCollege of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaCollege of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaCollege of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaFlowers, as integral elements of urban landscapes, are critical not only for aesthetic purposes but also for fostering human–nature interactions in green spaces. However, research on flower color preferences has largely been descriptive, and there is a lack of exploration of potential mechanisms influencing flower color preferences, such as economic and social factors. This study created visual samples through precise color adjustment techniques and introduced the L*, a*, and b* parameters from the CIELAB color system to quantify the flower colors of the survey samples, conducting an online survey with 354 Chinese residents. The complex aesthetic process’s driving factors were unveiled through a comprehensive analysis using a Generalized Additive Model (GAM), a piecewise Structural Equation Model (SEM), and linear regression models. The results show that the public’s flower color preference is primarily related to the a* and b* parameters, which represent color dimensions in the CIELAB color space, and it is not significantly related to L* (lightness). Factors such as age, annual household income level (AI), personal income sources (PI), nature experience, and emotional state (TMD) significantly influence color preferences, with emotional state identified as the most critical factor. Lastly, linear regression models further explain the potential mechanism of the influencing factors. This study proposes a framework to assist urban planners in selecting flower colors that resonate with diverse populations, enhancing both the attractiveness of urban green spaces and their potential to promote pro-environmental behavior. By aligning flower color design with public preferences, this study contributes to sustainable urban planning practices aimed at improving human well-being and fostering deeper connections with nature.https://www.mdpi.com/2311-7524/11/1/54flower colorpreferencenature experienceemotional statepiecewise structural equation model |
| spellingShingle | Juan She Renwu Wu Bingling Pi Jie Huang Zhiyi Bao Emotional State as a Key Driver of Public Preferences for Flower Color Horticulturae flower color preference nature experience emotional state piecewise structural equation model |
| title | Emotional State as a Key Driver of Public Preferences for Flower Color |
| title_full | Emotional State as a Key Driver of Public Preferences for Flower Color |
| title_fullStr | Emotional State as a Key Driver of Public Preferences for Flower Color |
| title_full_unstemmed | Emotional State as a Key Driver of Public Preferences for Flower Color |
| title_short | Emotional State as a Key Driver of Public Preferences for Flower Color |
| title_sort | emotional state as a key driver of public preferences for flower color |
| topic | flower color preference nature experience emotional state piecewise structural equation model |
| url | https://www.mdpi.com/2311-7524/11/1/54 |
| work_keys_str_mv | AT juanshe emotionalstateasakeydriverofpublicpreferencesforflowercolor AT renwuwu emotionalstateasakeydriverofpublicpreferencesforflowercolor AT binglingpi emotionalstateasakeydriverofpublicpreferencesforflowercolor AT jiehuang emotionalstateasakeydriverofpublicpreferencesforflowercolor AT zhiyibao emotionalstateasakeydriverofpublicpreferencesforflowercolor |