Abstract
Mobile monitoring has proven to be a very efficient tool to measure and feed into models of air pollution as it complements fixed air quality monitoring networks by adding spatiotemporal resolution. This paper explores best practices, opportunities and challenges related to mobile monitoring of air pollutants, focusing on three key application areas, namely source-, exposure-, and health-related use cases. Use cases are linked to users, ensuring mobile monitoring is effectively tailored to diverse research and policy needs. Tailoring mobile monitoring involves experimental design choices (platform, instrumentation, route planning and spatiotemporal coverage) and data processing choices (data-only vs modelling) optimized towards the envisaged use case. This position paper aims to guide researchers and air pollution stakeholders in generating high-quality mobile monitoring datasets. We identify best practices, discuss monitoring strategies, and highlight future research directions. Additionally, mobile monitoring supports public engagement and actionability, allowing communities to advocate for cleaner air and drive behavior change.
| Original language | English |
|---|---|
| Article number | 109582 |
| Number of pages | 16 |
| Journal | Environment International |
| Volume | 202 |
| Early online date | 13 Jun 2025 |
| DOIs |
|
| Publication status | Published - Aug 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
Funding
The views expressed in this article are those of the authors and do not necessarily reflect the views of their employers or the funders or sponsors of their employers. We thank RI-URBANS (EU H2020 RI-URBANS (grant No. 101036245)), Karin Tuxen-Bettman and Natalie Smailou for inspiration in the initial phase of this project. Authors would like to dedicate this work to Heresh Amini who passed away during the writing process.
| Funders | Funder number |
|---|---|
| H2020 RI-URBANS | 101036245 |
Keywords
- Air pollution
- Consensus
- Mobile monitoring
- Position paper
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