Variability in mobility-based air pollution exposure assessment: Effects of GPS tracking duration and temporal resolution of air pollution maps

IF 10.3 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environment International Pub Date : 2025-04-01 DOI:10.1016/j.envint.2025.109454

Lai Wei , Marco Helbich , Benjamin Flückiger , Youchen Shen , Jelle Vlaanderen , Ayoung Jeong , Nicole Probst-Hensch , Kees de Hoogh , Gerard Hoek , Roel Vermeulen

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引用次数: 0

Abstract

Mobility-based exposure assessment of air pollution has been proposed as a potentially more valid approach than home-based assessments. However, methodological uncertainties in operationalizing mobility-based assessment may still increase inaccuracies in estimating exposures. It remains unclear whether using short-term mobility data and yearly average air pollution concentrations is reliable for estimating personal air pollution exposure. This study aimed to assess variability in exposure estimates modeled by short- and long-term global positioning system (GPS) data and air pollution maps with yearly and monthly temporal resolutions. We tracked 428 participants for a short period (14 days) with a GPS device and for a long period (several months) with a smartphone application. Exposure estimates of nitrogen dioxide, ozone, and fine particulate matter (PM₁₀ and PM_2.5) were computed based on GPS data, air pollution maps, and temporal and indoor/outdoor adjustments. The concordance correlation coefficient (CCC) indicated excellent agreement (0.85–0.99) between exposure estimates based on short- and long-term GPS data from smartphones but ranged from moderate to excellent (0.57–0.99) when comparing exposure estimates based on data from different devices. Agreement between yearly and monthly map-based estimates was poor to moderate without temporal adjustment (CCC: 0–0.63) but excellent after temporal adjustment (CCC: 0.92–1.0). The findings suggest that using short-term (i.e., 7 or 14 days) GPS data and yearly average air pollution concentrations in mobility-based assessments can well represent long-term mobility and yearly averages for determining long-term exposures. However, GPS data collected via dedicated devices and smartphones may identify distinct indoor/outdoor patterns, affecting the indoor/outdoor adjustments of exposure estimates. Additionally, careful selection of using yearly or monthly maps is advised for assessing exposures within specific short periods.

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基于流动性的空气污染暴露评估的可变性：GPS 跟踪时间和空气污染地图时间分辨率的影响

有人建议，基于交通的空气污染暴露评估可能比基于家庭的评估更有效。然而，在实施基于机动性的评估时，方法上的不确定性仍可能增加估计暴露的不准确性。目前尚不清楚使用短期交通数据和年平均空气污染浓度来估计个人空气污染暴露是否可靠。本研究旨在评估短期和长期全球定位系统（GPS）数据和具有年和月时间分辨率的空气污染图所模拟的暴露估计的可变性。我们用GPS设备对428名参与者进行了短期（14 天）的跟踪，用智能手机应用程序进行了长期（几个月）的跟踪。二氧化氮、臭氧和细颗粒物（PM10和PM2.5）的暴露估计是基于GPS数据、空气污染地图以及时间和室内/室外调整计算的。一致性相关系数（CCC）表明，基于智能手机的短期和长期GPS数据的暴露估计之间的一致性非常好（0.85-0.99），但在比较基于不同设备数据的暴露估计时，一致性从中等到非常好（0.57-0.99）。在没有时间调整的情况下，每年和每月基于地图的估计之间的一致性较差至中等（CCC: 0-0.63），但在时间调整后，一致性很好（CCC: 0.92-1.0）。研究结果表明，在基于流动性的评估中，使用短期（即7或14 天）GPS数据和年平均空气污染浓度可以很好地代表长期流动性和确定长期暴露的年平均水平。然而，通过专用设备和智能手机收集的GPS数据可能会识别出不同的室内/室外模式，从而影响暴露估计的室内/室外调整。此外，建议仔细选择使用年度或月度地图来评估特定短期内的暴露情况。

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来源期刊

Environment International 环境科学-环境科学

CiteScore

21.90

自引率

3.40%

发文量

734

审稿时长

2.8 months

期刊介绍： Environmental Health publishes manuscripts focusing on critical aspects of environmental and occupational medicine, including studies in toxicology and epidemiology, to illuminate the human health implications of exposure to environmental hazards. The journal adopts an open-access model and practices open peer review. It caters to scientists and practitioners across all environmental science domains, directly or indirectly impacting human health and well-being. With a commitment to enhancing the prevention of environmentally-related health risks, Environmental Health serves as a public health journal for the community and scientists engaged in matters of public health significance concerning the environment.