Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data
To address the challenge of quantitatively assessing the mentalization of emotions in color design schemes, this study uses Baidu Street View images and deep learning, integrates multi-source data, and innovatively constructs a color data model based on a comprehensive color indicator system for the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/14/10/3128 |
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| author | Ruiying Zhang Qian Huang Zhimou Peng Xinyue Zhang Lan Shang Chengling Yang |
| author_facet | Ruiying Zhang Qian Huang Zhimou Peng Xinyue Zhang Lan Shang Chengling Yang |
| author_sort | Ruiying Zhang |
| collection | DOAJ |
| description | To address the challenge of quantitatively assessing the mentalization of emotions in color design schemes, this study uses Baidu Street View images and deep learning, integrates multi-source data, and innovatively constructs a color data model based on a comprehensive color indicator system for the quantitative assessment and visual representation of how the color environments of elementary school urban neighborhoods impact children’s mentalization of emotions. This model systematically incorporates physical color indicators, integrates elements such as perceptual frequency, and provides a novel perspective for color planning. The study’s results reveal that color metrics significantly impact children’s mentalization of emotions across multiple dimensions, with gender and age emerging as important influencing factors. Additionally, significant correlations were found between color and environmental elements such as building façades, roads, and signs. The study provides urban planners and architects with a practical color data model and recommendations for the revitalization of elementary school urban neighborhoods, offering a scientific basis for optimizing color design. |
| format | Article |
| id | doaj-art-e002c9e3048449cc8912b0a7426971ed |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-e002c9e3048449cc8912b0a7426971ed2025-08-20T02:11:12ZengMDPI AGBuildings2075-53092024-09-011410312810.3390/buildings14103128Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source DataRuiying Zhang0Qian Huang1Zhimou Peng2Xinyue Zhang3Lan Shang4Chengling Yang5School of Architecture and Planning, Hunan University, Changsha 410082, ChinaSchool of Architecture and Planning, Hunan University, Changsha 410082, ChinaSchool of Architecture and Planning, Hunan University, Changsha 410082, ChinaSchool of Architecture and Planning, Hunan University, Changsha 410082, ChinaSchool of Architecture and Planning, Hunan University, Changsha 410082, ChinaCollege of Urban and Rural Construction, Shanxi Agricultural University, Taiyuan 030801, ChinaTo address the challenge of quantitatively assessing the mentalization of emotions in color design schemes, this study uses Baidu Street View images and deep learning, integrates multi-source data, and innovatively constructs a color data model based on a comprehensive color indicator system for the quantitative assessment and visual representation of how the color environments of elementary school urban neighborhoods impact children’s mentalization of emotions. This model systematically incorporates physical color indicators, integrates elements such as perceptual frequency, and provides a novel perspective for color planning. The study’s results reveal that color metrics significantly impact children’s mentalization of emotions across multiple dimensions, with gender and age emerging as important influencing factors. Additionally, significant correlations were found between color and environmental elements such as building façades, roads, and signs. The study provides urban planners and architects with a practical color data model and recommendations for the revitalization of elementary school urban neighborhoods, offering a scientific basis for optimizing color design.https://www.mdpi.com/2075-5309/14/10/3128elementary school urban neighborhoodchildren’s mentalization of emotionsmulti-source datacolor indicator system |
| spellingShingle | Ruiying Zhang Qian Huang Zhimou Peng Xinyue Zhang Lan Shang Chengling Yang Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data Buildings elementary school urban neighborhood children’s mentalization of emotions multi-source data color indicator system |
| title | Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data |
| title_full | Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data |
| title_fullStr | Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data |
| title_full_unstemmed | Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data |
| title_short | Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data |
| title_sort | evaluating the impact of elementary school urban neighborhood color on children s mentalization of emotions through multi source data |
| topic | elementary school urban neighborhood children’s mentalization of emotions multi-source data color indicator system |
| url | https://www.mdpi.com/2075-5309/14/10/3128 |
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