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Transit Pollution Exposure Monitoring using Low-Cost Wearable Sensors

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TLDR
In this paper, the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters is analyzed by using extensive experiments carried out in the Helsinki metropolitan region, and they demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors.
Abstract
Transit activities are a significant contributor to a person’s daily exposure to pollutants. Currently obtaining accurate information about the personal exposure of a commuter is challenging as existing solutions either have a coarse monitoring resolution that omits subtle variations in pollutant concentrations or are laborious and costly to use. We contribute by systematically analysing the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters. Through extensive experiments carried out in the Helsinki metropolitan region, we demonstrate that low-cost sensors can capture the overall exposure with sufficient accuracy, while at the same time providing insights into variations within transport modalities. We also demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors. For example, we demonstrate that location within the vehicle carriage can result in up to 25 % increase in daily pollution exposure – a significant difference that existing solutions are unable to capture. Finally, we highlight the practical benefits of low-cost sensors as a pollution monitoring solution by introducing applications that are enabled by low-cost wearable sensors.

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Citations
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Journal ArticleDOI

Air pollution exposure monitoring using portable low-cost air quality sensors

- 01 Mar 2022 - 
TL;DR: Wang et al. as discussed by the authors presented a low-cost portable sensor and carried out a measurement campaign using the sensors to demonstrate the validity and benefits of citizen-based pollution measurements, which successfully classified the data into indoor and outdoor, and validated the consistency and accuracy of the outdoor-classified data to the measurements of a high-end reference monitoring station.

The AirSpeck Family of Static and Mobile Wireless Air Quality Monitors

TL;DR: The paper demonstrates the viability of using inexpensive static and mobile AirSpeck monitors for mapping trends in particulate concentrations in urban spaces and Networks of air-quality monitors using inexpensive sensors offer a cost-effective approach for recording trends in air quality at a higher spatial resolution.
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A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention

TL;DR: A comprehensive survey of the current research on COVID-19 transmission mechanisms and how they relate to public transport is presented in this paper , where social distancing and control on passenger density are found to be the most effective mechanisms.
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Intelligent Air Pollution Sensors Calibration for Extreme Events and Drifts Monitoring

TL;DR: In this article , an intelligent sensors calibration method that facilitates correcting air quality low-cost sensors (LCSs) measurements accurately and detecting the calibrators' drift is proposed, which uses Bayesian framework to establish white-box and black-box calibrators.
References
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Journal ArticleDOI

Metro Commuter Exposures to Particulate Air Pollution and PM2.5-Associated Elements in Three Canadian Cities: The Urban Transportation Exposure Study

TL;DR: Findings suggest that particle air pollutant levels in Canadian metros are substantially impacted by the systems themselves, are highly enriched in steel-based elements, and can contribute a large portion of PM2.5 and its elemental components to a metro commuter's daily exposure.
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Intelligent Calibration and Virtual Sensing for Integrated Low-Cost Air Quality Sensors

TL;DR: This strategy generalizes the models of calibration and virtual sensing which then allows LCS to be deployed in field independently with a high accuracy, and enables scaling-up accurate air pollution mapping appropriate for smart cities.
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Indoor aerosol modeling for assessment of exposure and respiratory tract deposited dose

TL;DR: In this article, a simple approach combining available aerosol-based modeling techniques to evaluate the real-time exposure and respiratory tract deposited dose based on particle size is presented. But, the approach presented is a realtime approach and it goes beyond the exposure assessment to provide the required information for the health risk assessment.
Journal ArticleDOI

Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis

TL;DR: In this article, the authors survey the rapidly growing research landscape of low-cost sensor technologies for air quality monitoring and their calibration using machine learning techniques and identify open research challenges and present directions for future research.
Journal ArticleDOI

Toward Massive Scale Air Quality Monitoring

TL;DR: A research vision of real-time massive scale air quality sensing that integrates tens of thousands or even millions of air quality sensors to monitor air quality at fine spatial and temporal resolution is presented.
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