Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/69940
Title: Does vegetation density and perceptions predict green stormwater infrastructure preference?
Authors: Pongsakorn Suppakittpaisarn
Chun Yen Chang
Brian Deal
Linda Larsen
William C. Sullivan
Keywords: Agricultural and Biological Sciences
Environmental Science
Issue Date: 1-Nov-2020
Abstract: © 2020 Elsevier GmbH 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090572232&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/69940
ISSN: 16108167
16188667
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.