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Devising a Responsible Framework for Air Quality Sensor Placement

Westcarr, Jevon; Gunturi, Venkata M V; Cabaneros, Sheen Mclean; Raja, Rameez; Thakker, Dhavalkumar; Porter, Amanda

Authors

Jevon Westcarr

Sheen Mclean Cabaneros

Profile image of Rameez Kureshi

Dr Rameez Kureshi R.Kureshi@hull.ac.uk
Lecturer and Programme Director of online MSc - Artificial Intelligence

Amanda Porter



Abstract

A major challenge faced when developing smart, sustainable urban environments is the reduction of air pollutants that adversely impact citizens' health. The UK has implemented strategies such as clean air zones (CAZs) coupled with the use of sensor technologies to monitor the changes in these pollutant concentrations while simultaneously reducing them over time. Consequently, this poses important concerns: how much consideration has been given to the positioning of these sensors, and are the citizens the focal point of this decision-making process? In this paper, we seek to address these concerns by introducing a framework which responsibly positions air pollution sensors based on three conjoined tenets: 1) sensors should equitably cover areas of varying deprivations faced by citizens, 2) sensors should cover areas that have dense concentrations of specified parameters of interest which directly impact its citizens' health, behavioural practices and other factors, and 3) sensor coverage should be maximised across the expanse of the city. After laying the foundation of our algorithm, we then demonstrate that sensors can be positioned in a responsible manner that upholds the aforementioned objectives using geospatial data for the city of Hull, one of the most deprived areas of England.

Citation

Westcarr, J., Gunturi, V. M. V., Cabaneros, S. M., Raja, R., Thakker, D., & Porter, A. (2024, July). Devising a Responsible Framework for Air Quality Sensor Placement. Presented at 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, United Kingdom

Presentation Conference Type Conference Paper (published)
Conference Name 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS)
Start Date Jul 29, 2024
End Date Jul 31, 2024
Acceptance Date May 31, 2024
Online Publication Date Aug 15, 2024
Publication Date Aug 15, 2024
Deposit Date Jul 4, 2024
Publicly Available Date Jan 14, 2025
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 1-6
Series Title IEEE International Conference on Omni-layer Intelligent Systems (COINS)
ISBN 9798350349603
DOI https://doi.org/10.1109/COINS61597.2024.10622133
Keywords sensor; smart city; air quality; urban observatory; fairness; geospatial; clean air zone; monitoring
Public URL https://hull-repository.worktribe.com/output/4732199

Files

Accepted manuscript (2.8 Mb)
PDF

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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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