Evidence map›Paper›PMID 40119042›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Assessing the relationship between space-time behaviours and personal noise exposure using isotemporal substitution models in the Grand Paris area.

Giovanna Fancello, Arnaud Can, Pierre Aumond, Sanjeev Bista, Basile Chaix

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Giovanna FancelloSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, NEMESIS, F75012, Paris, France. giovanna.fancello@iplesp.upmc.fr.ORCID http://orcid.org/0000-0003-4167-2500
Arnaud CanUnité Mixte de Recherche en Acoustique Environnementale (UMRAE), Université Gustave Eiffel - Cerema, Campus de Nantes, Allée des Ponts et Chaussées - CS 5004, Champs-sur-Marne, France.
Pierre AumondUnité Mixte de Recherche en Acoustique Environnementale (UMRAE), Université Gustave Eiffel - Cerema, Campus de Nantes, Allée des Ponts et Chaussées - CS 5004, Champs-sur-Marne, France.
Sanjeev BistaÉcole de Santé Publique de l'Université de Montréal, ESPUM, Montreal, Canada.
Basile ChaixSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, NEMESIS, F75012, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe individual exposure to environmental noise in cities is usually assessed at the residential neighbourhood level with static, year-averaged strategic maps. This representation may underestimate noise exposure, given the mobility of individuals within the city and proximate sources of exposure.

objectiveOur study employs high-resolution sensor analysis to observe how personal noise exposure differs from modelled noise map metrics, identify socioeconomical and behavioural determinants of exposure, and explore the impact of reallocating certain behaviours to others on daily personal noise exposure (L

methodData on daily activities of 259 participants of the MobiliSense cohort living in the metropolitan area of Paris were collected between 2018 and 2020. Participants were equipped of a personal monitor for sound pressure, and of a GPS receiver and an accelerometer. Modes of transport were collected during a mobility survey.

resultsResults showed that noise exposure based on personal monitoring during space-time behaviours differed from modelled noise levels at residence. Participants were exposed to values below the recommended critical value for health of 55 dB(A) in urban areas in only 36% of the days. Individual socioeconomic characteristics and residential factors explained very little variance in personal noise exposure. Noise exposure varied among performed activities and transport modes, with public transport associated with the highest sound levels. While time spent in the underground public transport was on average 1.4% of the total daily time-budget, it contributes on average to 9.5% of the daily noise dose. IMPACT: This research reveals that individual mobility behaviours significantly influence daily noise exposure in urban environments. By analysing how people move throughout their day, we found that traditional static assessments, limited to residential noise, underestimate actual exposure. Notably, despite limited time spent in it (1,4%), underground transport contributed substantially to daily noise (9.5%). Furthermore, participants experienced noise levels below recommended health thresholds in only 36% of days. These findings underscore the need for policy changes that prioritize walkable cities and minimize commuting time, alongside the design of "quiet areas" within urban spaces for recovering from the city noise stress.

Indexed as

Environmental ExposureNoiseAdultAgedCitiesEnvironmental MonitoringFemaleHumansMaleMiddle AgedNoise, TransportationParisResidence CharacteristicsTransportationIsotemporal modelMobilityNoiseSpace-time behaviours

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.