Measuring the health effects of “Green” and “blue” elements in different types of urban environments by employing wearable sensors: A field experiment in Copenhagen, Denmark
Topics: Geography and Urban Health
, Human-Environment Geography
, Urban and Regional Planning
Keywords: Personal exposure, open space, sensing technology, mental health
Session Type: Virtual Paper Abstract
Day: Friday
Session Start / End Time: 2/25/2022 02:00 PM (Eastern Time (US & Canada)) - 2/25/2022 03:20 PM (Eastern Time (US & Canada))
Room: Virtual 30
Authors:
Zhaoxi Zhang, Department of Environmental Science - Environmental social science and geography; Big Data Centre for Environment and Health; Aarhus University
Prince Michael Amegbor, Department of Environmental Science - Environmental social science and geography; Big Data Centre for Environment and Health; Aarhus University
Torben Sigsgaard, Department of Public Health - Institute of Environmental and Occupational Medicine; Big Data Centre for Environment and Health; Aarhus University
Clive Eric Sabel, Department of Environmental Science - Environmental social science and geography; Big Data Centre for Environment and Health; Aarhus University
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Abstract
Urban green and blue spaces not only provide environmental benefits to the quality of city life, but also generate positive health effects for people living in cities. Recent studies advocate for the need to evaluate the therapeutic value of urban green/blue spaces. To achieve this goal, this study aims to measure how human respond to urban “green” and “blue” elements in different kinds of urban environment. We conducted a field experiment in Copenhagen municipality from June to September 2021. The experiment entailed using FrontRow wearable lifestyle camera, GPS tracker and Empatica 4 wristband as a sensor package to capture personal urban exposures and localised personal physiological responses to the urban environments. In this field experiment, volunteers (k=85) wore three sensors and walked through six urban sites (waterfront area/transit area/greenery area /commercial area/traffic area/residential area). On each site, the volunteers had a 5-minute rest followed by a 15-minute self-leading walk. In the end, our experiment collected images representing personal exposures to urban elements and the corresponding physiological responses. Focusing on the exposures to “Green” and “Blue” features, we took advantage of Microsoft API of cognitive service to detect the existence of urban “green” (e.g., tree/grass/flower/garden/bush) and urban “blue” (e.g., water/lake/fountain) in the collected images. Further, we analysed the spatial relationship between the distributions of “Green/Blue” features and human’s body responses in the six sites. The study provides novel insights to investigating human health in different urban environments and highlights the value of green and blue spaces in promoting good health.
Measuring the health effects of “Green” and “blue” elements in different types of urban environments by employing wearable sensors: A field experiment in Copenhagen, Denmark
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Virtual Paper Abstract
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