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Benches,fountains and trees: Using mixed-methods with questionnaire and smartphone data to design urban green spaces
Institution:1. Faculty of Forestry, University of British Columbia, British Columbia, Canada;2. Department of Biological Sciences, University of Calgary, Alberta, Canada;1. Department of Architecture, National University of Singapore, Singapore;2. School of Computing, National University of Singapore, Singapore;1. Global Environment Research Division, National Institute of Environmental Research, Incheon 22689, Republic of Korea;2. Natural Environment Research Division, National Institute of Environmental Research, Incheon 22689, Republic of Korea;3. Department of Landscape Architecture and Rural System Engineering, Seoul National University, Seoul 08826, Republic of Korea;1. Institute of Ecology and Sustainable Development, Shanghai Academy of Social Sciences, No.7, Lane 622, Huaihaizhong Road, Huangpu District, Shanghai, China;2. School of Design, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang District, Shanghai, China;3. East China Normal University, No. 500, Dongchuan Road, Minhang District, Shanghai, China;4. Department of Geography & Planning, the University of Toledo, OH 43606, USA
Abstract:Smartphones can help researchers track how people use green spaces and understand how design features impact their behaviors. However, when using this data to evaluate green space designs, researchers should be aware of human perceptions of the features within these environments. We contribute a mixed method approach that allows for comparison between how people report using green space features intended to support wellbeing, with how often they are used in common daily routines. As an illustration of this approach, we present the results of a case study conducted on a university campus that compares how outdoor design features are used by students with how these features are reported as being used. Specifically, we compare perceptions of 362 students about which campus design features create a sense of wellbeing, and which are near locations they report using, with the use of these features recorded by the smartphones of a separate group of 62 students. We found that there were large differences between locations students reported using, and locations tracked students used regularly. Features that were used more often during daily routines (low walls, food retail outlets), did not match features reported as helping create a sense of wellbeing in the questionnaire (benches, trees, and sunshine). Of all the design features we modeled, only water features were positively associated with use in the tracking data and supportive of wellbeing in the questionnaire data. Our findings point to the importance of using tracking data together with response data from questionnaires in mixed-method studies if designers want to locate features that the public consider as supportive to their wellbeing, in locations that will be regularly used.
Keywords:Campus landscape  Green space  Human use patterns  Smartphone data  Urban resource selection function
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