TY - JOUR
T1 - Mobile monitoring of air pollution − a position paper on use cases, good practices, challenges, and opportunities
AU - Kerckhoffs, Jules
AU - Hofman, Jelle
AU - Khan, Jibran
AU - Adams, Matthew D.
AU - Blanco, Magali N.
AU - deSouza, Priyanka
AU - Durant, John L.
AU - Faridi, Sasan
AU - Fruin, Scott
AU - Hankey, Steve
AU - Hassanvand, Mohammad Sadegh
AU - Hatzopoulou, Marianne
AU - Hoek, Gerard
AU - de Hoogh, Kees
AU - Hudda, Neelakshi
AU - Kushwaha, Meenakshi
AU - Marshall, Julian D.
AU - Minet, Laura
AU - Patton, Allison P.
AU - Petäjä, Tuukka
AU - Peters, Jan
AU - Presto, Albert A.
AU - Shairsingh, Kerolyn
AU - Sheppard, Lianne
AU - Simon, Matthew C.
AU - Vakacherla, Sreekanth
AU - Ryswyk, Keith Van
AU - Poppel, Martine Van
AU - Vermeulen, Roel C.H.
AU - Wegener, Robert
AU - Yuan, Zhendong
AU - Amini, Heresh
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/8
Y1 - 2025/8
N2 - 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.
AB - 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.
KW - Air pollution
KW - Consensus
KW - Mobile monitoring
KW - Position paper
UR - https://www.scopus.com/pages/publications/105008180548
U2 - 10.1016/j.envint.2025.109582
DO - 10.1016/j.envint.2025.109582
M3 - Comment/debate
AN - SCOPUS:105008180548
SN - 0160-4120
VL - 202
JO - Environment international
JF - Environment international
M1 - 109582
ER -