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Identifying Streetscape Features Significant to Well-Being

机译:识别对幸福至关重要的街景功能

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To determine effective relationships between die built environment and health and well-being, a transdisciplinary team of architectural, behavioral and health scientists developed a built environment coding system (UMBECS). They examined the relationship of resulting streetscape features to health and well-being at the block level. The research team conducted studies of the validity of UMBECS focusing on children through school conduct and grades, and on elders through a longitudinal cognitive functioning study. For children, contrary to popularly held views, commercial-residential mix was as effective as a high proportion of residential use in predicting children's school outcomes (i.e., better conduct, achievement, effort, and grades). For elders, modest but statistically significant relationships existed between block-level features, elders' neighboring behaviors, and social support, which in turn were significantly associated with cognitive and affective functioning. These findings suggest the utility of this built environment coding system for examining the relationship of built environment features to residents' health and well-being. UMBECS offers a useful tool for developing a viable transdisciplinary model of the role of the built environment in behavioral and health outcomes.
机译:为了确定建筑环境与健康与福祉之间的有效关系,建筑,行为和健康科学家跨学科团队开发了建筑环境编码系统(UMBECS)。他们检查了街景功能与街区一级的健康状况之间的关系。该研究小组针对UMBECS的有效性进行了研究,重点是通过学业和年级的儿童,以及通过纵向认知功能研究的长者。对于儿童而言,与流行观点相反,在预测儿童的学校成绩(即更好的行为,成就,努力和成绩)方面,商业-住宅混合与住宅使用中的大部分一样有效。对于老年人,在块级特征,老年人的邻近行为和社会支持之间存在适度但具有统计学意义的关系,而这又与认知和情感功能显着相关。这些发现表明,该建筑环境编码系统可用于检查建筑环境特征与居民健康状况之间的关系。 UMBECS提供了一个有用的工具,可用于开发可行的跨学科模型,以构建环境在行为和健康结果中的作用。

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