标题: Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults

作者: Xu, JW (Xu, Jiwei); Liu, YL (Liu, Yaolin); Liu, YF (Liu, Yanfang); An, R (An, Rui); Tong, ZM (Tong, Zhaomin)

来源出版物: SOCIAL SCIENCE & MEDICINE卷: 338文献号: 116304 DOI: 10.1016/j.socscimed.2023.116304提前访问日期: OCT 2023出版年: DEC 2023

摘要: Understanding how built environment attributes affect health remains important. While many studies have explored the objective characteristics of built environments that affect health outcomes, few have examined the role of human perceptions of built environments on physical health. Baidu Street View images and computer vision technological advances have helped researchers overcome the constraints of traditional methods of measuring human perceptions (e.g., these methods are laborious, time-consuming, and costly), allowing for large-scale measurements of human perceptions. This study estimated human perceptions of the built environment (e.g., beauty, boredom, depression, safety, vitality, and wealth) by adopting Baidu Street View images and deep learning algorithms. Negative binomial regression models were employed to analyze the relationship be-tween human perceptions and cardiovascular disease in older adults (e.g., ischemic heart disease and cerebro-vascular disease). The results indicated that wealth perception is negatively related to the risk of cardiovascular disease. However, depression and vitality perceptions are positively associated with the risk of cardiovascular disease. Furthermore, we found no relationship between beauty, boredom, safety perceptions, and the risk of cardiovascular disease. Our findings highlight the importance of human perceptions in the development of healthy city planning and facilitate a comprehensive understanding of the relationship between built environment characteristics and health outcomes in older adults. They also demonstrate that street view images have the potential to provide insights into this complicated issue, assisting in the formulation of refined interventions and health policies.

作者关键词: Built environment; Human perception; Street view images; Cardiovascular disease; Healthy city planning; Negative binomial regression

KeyWords Plus: PHYSICAL-ACTIVITY; NEIGHBORHOOD SAFETY; RISK-FACTORS; HEALTH; OBESITY; WALKABILITY; DESIGN; TRAVEL; QUALITIES; DIVERSITY

地址: [Xu, Jiwei; Liu, Yaolin; Liu, Yanfang; An, Rui; Tong, Zhaomin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Yaolin; Liu, Yanfang] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Liu, Yaolin; Liu, Yanfang] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Duke Kunshan Univ, Kunshan 215316, Peoples R China.

通讯作者地址: Liu, YL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址:yaolin610@163.com

影响因子：5.4