Benches, fountains and trees: Using mixed-methods with questionnaire and smartphone data to design urban green spaces

《Benches, fountains and trees: Using mixed-methods with questionnaire and smartphone data to design urban green spaces》

打印

作者: Angela Rout;Paul Galpern

来源: URBAN FORESTRY & URBAN GREENING,Vol.67,Issue1,Article 127335

语言: 英文

关键字: Campus landscape;Green space;Human use patterns;Smartphone data;Urban resource selection function

作者单位: Faculty of Forestry, University of British Columbia, British Columbia, Canada;Department of Biological Sciences, University of Calgary, Alberta, Canada;Faculty of Forestry, University of British Columbia, British Columbia, Canada;Department of Biological Sciences, University of Calgary, Alberta, Canada

摘要: 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.