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Can portable air quality monitors protect children from air pollution on the school run? An exploratory study.

Environmental monitoring and assessment | 2020

With air quality issues in urban areas garnering increasing media attention, concerned citizens are beginning to engage with the technology as a means of identifying and responding to the environmental risks posed. However, while much has been written about the accuracy of the units, little research has been conducted into its effects on users. As such, this research deploys coping theory to explore the specific ways in which portable air quality sensors influence user behaviour. This is done using a qualitative exploratory design, targeting parents and carers of children on the school run. Drawing from survey and interview responses, the article illustrates the decision-making pathways underpinning engagement with monitors and the ways in which they influence behaviour and disrupt misconceptions around air pollution. The study demonstrates that personal environmental monitors can play a role in protecting children from air pollution on the school run. They can raise awareness about air pollution and disrupt misconceptions about where does and does not occur. They can also encourage the public to change their behaviour in an attempt to mitigate and manage risks. However, the findings additionally reveal that sensor technology does not generate a simple binary response among users, of behavioural change or not. When attempts at behavioural change fail to reduce risk, resulting negative feelings can lead to inaction. Hence, the relationship between the technology and the individual is entwined with various social circumstances often beyond a parent or carer's control. Thus, top-down support aimed at tackling air pollution at source is essential if this bottom-up technology is to fulfil its full potential.

Pubmed ID: 32086616 RIS Download

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NVivo (tool)

RRID:SCR_014802

Software suite for qualitative data analysis for text-based data and higher-order forms of data. Various packages are available and are dependent on the system used and the type of data analysis needed.

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