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DOI10.1016/j.scitotenv.2017.11.275
Understanding social and behavioral drivers and impacts of air quality sensor use
Hubbell, Bryan J.1; Kaufman, Amanda2; Rivers, Louie3; Schulte, Kayla4; Hagler, Gayle1; Clougherty, Jane5; Cascio, Wayne1; Costa, Dan1
发表日期2018-04-15
ISSN0048-9697
卷号621页码:886-894
英文摘要

Background: Lower-cost air quality sensors (hundreds to thousands of dollars) are now available to individuals and communities. This technology is undergoing a rapid and fragmented evolution, resulting in sensors that have uncertain data quality, measure different air pollutants and possess a variety of design attributes. Why and how individuals and communities choose to use sensors is arguably influenced by social context. For example, community experiences with environmental exposures and health effects and related interactions with industry and government can affect trust in traditional air quality monitoring. To date, little social science research has been conducted to evaluate why or how sensors, and sensor data, are used by individuals and communities, or how the introduction of sensors changes the relationship between communities and air quality managers.


Objectives: This commentary uses a risk governance/responsible innovation framework to identify opportunities for interdisciplinary research that brings together social scientists with air quality researchers involved in developing, testing, and deploying sensors in communities.


Discussion: Potential areas for social science research include communities of sensor users; drivers for use of sensors and sensor data; behavioral, socio-political, and ethical implications of introducing sensors into communities; assessing methods for communicating sensor data; and harnessing crowdsourcing capabilities to analyze sensor data.


Conclusions: Social sciences can enhance understanding of perceptions, attitudes, behaviors, and other human factors that drive levels of engagement with and trust in different types of air quality data. New transdisciplinary research bridging social sciences, natural sciences, engineering, and design fields of study, and involving citizen scientists working with professionals from a variety of backgrounds, can increase our understanding of air sensor technology use and its impacts on air quality and public health. Published by Elsevier B.V.


英文关键词Air pollution;Social science;Citizen science;Monitoring;Exposure
语种英语
WOS记录号WOS:000424196800089
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/60632
作者单位1.US EPA, Off Res & Dev, 109 TW Alexander Dr, Res Triangle Pk, NC 27709 USA;
2.US EPA, Off Air & Radiat, 109 TW Alexander Dr, Res Triangle Pk, NC 27709 USA;
3.North Carolina State Univ, Dept Forestry & Environm Resources, Campus Box 8001, Raleigh, NC 27695 USA;
4.Univ Oxford, Dept Geog & Environm, S Parks Rd, Oxford OX1 3QY, England;
5.Drexel Univ, Dornsife Sch Publ Hlth, 3215 Market St, Philadelphia, PA 19104 USA
推荐引用方式
GB/T 7714
Hubbell, Bryan J.,Kaufman, Amanda,Rivers, Louie,et al. Understanding social and behavioral drivers and impacts of air quality sensor use[J]. 美国环保署,2018,621:886-894.
APA Hubbell, Bryan J..,Kaufman, Amanda.,Rivers, Louie.,Schulte, Kayla.,Hagler, Gayle.,...&Costa, Dan.(2018).Understanding social and behavioral drivers and impacts of air quality sensor use.SCIENCE OF THE TOTAL ENVIRONMENT,621,886-894.
MLA Hubbell, Bryan J.,et al."Understanding social and behavioral drivers and impacts of air quality sensor use".SCIENCE OF THE TOTAL ENVIRONMENT 621(2018):886-894.
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