Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions
The emotional health of urban residents has been seriously threatened by frequent and normalized heat waves. This study constructed the VI-level assessment standard for emotional health risk using data from satellite images, meteorological sites, questionnaire surveys, and statistical yearbooks to a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/12/7/1040 |
| _version_ | 1797407153759191040 |
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| author | Huanchun Huang Shuying Zhang Shangao Xiong Chunxiang Shi |
| author_facet | Huanchun Huang Shuying Zhang Shangao Xiong Chunxiang Shi |
| author_sort | Huanchun Huang |
| collection | DOAJ |
| description | The emotional health of urban residents has been seriously threatened by frequent and normalized heat waves. This study constructed the VI-level assessment standard for emotional health risk using data from satellite images, meteorological sites, questionnaire surveys, and statistical yearbooks to assess the effect of high temperatures on negative emotions in Hangzhou. The results showed that the morphological changes of urban high-temperature areas were aggregated from a cross-shape to a large patch shape, then dispersed into cracked patch shapes. Additionally, the health risk of daytime negative emotions peaked at the VI-level from 1984 to 2020, and the influence level of the typical period risk increased by 1–2 levels compared with the daytime. Additionally, driven by urban spatial structure policies, the risk pattern of emotional health expanded outward from a single center into multiple centers. The emotional health risk level rose and then descended in urban centers, and the innovation industries drove the variation tendency of hot spots. Furthermore, high educational background, employment, and couples living together were critical variables that could alleviate the emotional health risk to the middle-aged and elderly population. This study aimed to optimize the urban spatial structure and alleviate residents’ emotional health hazards for healthy urban planning. |
| first_indexed | 2024-03-09T03:37:43Z |
| format | Article |
| id | doaj.art-aac846597fca45d3814f08b60147d331 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T03:37:43Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-aac846597fca45d3814f08b60147d3312023-12-03T14:46:43ZengMDPI AGBuildings2075-53092022-07-01127104010.3390/buildings12071040Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative EmotionsHuanchun Huang0Shuying Zhang1Shangao Xiong2Chunxiang Shi3College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaInstitute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100043, ChinaNational Meteorological Information Center, Beijing 100081, ChinaThe emotional health of urban residents has been seriously threatened by frequent and normalized heat waves. This study constructed the VI-level assessment standard for emotional health risk using data from satellite images, meteorological sites, questionnaire surveys, and statistical yearbooks to assess the effect of high temperatures on negative emotions in Hangzhou. The results showed that the morphological changes of urban high-temperature areas were aggregated from a cross-shape to a large patch shape, then dispersed into cracked patch shapes. Additionally, the health risk of daytime negative emotions peaked at the VI-level from 1984 to 2020, and the influence level of the typical period risk increased by 1–2 levels compared with the daytime. Additionally, driven by urban spatial structure policies, the risk pattern of emotional health expanded outward from a single center into multiple centers. The emotional health risk level rose and then descended in urban centers, and the innovation industries drove the variation tendency of hot spots. Furthermore, high educational background, employment, and couples living together were critical variables that could alleviate the emotional health risk to the middle-aged and elderly population. This study aimed to optimize the urban spatial structure and alleviate residents’ emotional health hazards for healthy urban planning.https://www.mdpi.com/2075-5309/12/7/1040high temperaturenegative emotionemotional health riskcold and hot spotsmiddle-aged and elderly population |
| spellingShingle | Huanchun Huang Shuying Zhang Shangao Xiong Chunxiang Shi Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions Buildings high temperature negative emotion emotional health risk cold and hot spots middle-aged and elderly population |
| title | Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions |
| title_full | Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions |
| title_fullStr | Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions |
| title_full_unstemmed | Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions |
| title_short | Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions |
| title_sort | health risk assessment and influencing factors analysis of high temperatures on negative emotions |
| topic | high temperature negative emotion emotional health risk cold and hot spots middle-aged and elderly population |
| url | https://www.mdpi.com/2075-5309/12/7/1040 |
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