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Does Vegetation Density and Perceptions Predict Green Stormwater Infrastructure Preference?
Urban Forestry & Urban Greening ( IF 6.0 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.ufug.2020.126842
Pongsakorn Suppakittpaisarn , Chun-Yen Chang , Brian Deal , Linda Larsen , William C. Sullivan

Abstract Green Stormwater Infrastructure (GSI) is being implemented in cities around the globe. Although we know that GSI improves urban ecosystems in a variety of ways, we know little about the extent to which the characteristics of GSI impact human perception and preference. This gap in knowledge necessitates a greater understanding of the relationship between GSI perceptions and preference. Without this knowledge, designers and planners risk creating landscapes that people dislike, and from which they reap few health benefits. To address this gap, we deployed four sets of similar questionnaires globally in Amazon Turk. Each had 54 urban street photographs from US cities with varying levels of tree and bioretention planting density that were photomanipulated from six original images. In three questionnaires, participants rated how natural, safe, or messy they perceived the landscapes to be on a five-point Likert scale. The other questionnaire asked participants to rate their preference for each image. The researchers then examined the relationships between vegetation density, perceptions, and preference (n = 427). The results demonstrate that vegetation density levels significantly influenced people’s preference, perceived safety, and perceived naturalness. Furthermore, perceived safety and naturalness strongly correlated with preference while the three landscape characteristics predicted preference. These findings can be used to improve the design of urban GSI and help people reap the benefits of nature. Future studies should investigate the effects of seasons, the influences of cues of care, and international applications.

中文翻译:

植被密度和感知是否可以预测绿色雨水基础设施偏好?

摘要 绿色雨水基础设施 (GSI) 正在全球城市实施。虽然我们知道 GSI 以多种方式改善城市生态系统,但我们对 GSI 的特征影响人类感知和偏好的程度知之甚少。这种知识差距需要更深入地了解 GSI 认知与偏好之间的关系。如果没有这些知识,设计师和规划者就会冒着创造人们不喜欢的景观的风险,并且他们从中获得的健康益处很少。为了弥补这一差距,我们在 Amazon Turk 全球范围内部署了四套类似的问卷。每个都有 54 张来自美国城市的城市街道照片,这些照片来自六张原始图像,这些照片具有不同程度的树木和生物滞留种植密度。在三份问卷中,参与者对如何自然、安全、或凌乱,他们认为风景是在五点李克特量表上。另一份问卷要求参与者对他们对每张图片的偏好进行评分。研究人员随后检查了植被密度、感知和偏好之间的关系(n = 427)。结果表明,植被密度水平显着影响人们的偏好、感知安全性和感知自然性。此外,感知安全性和自然性与偏好密切相关,而三个景观特征预测偏好。这些发现可用于改进城市 GSI 的设计,帮助人们从大自然中获益。未来的研究应该调查季节的影响、护理线索的影响以及国际应用。
更新日期:2020-11-01
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