{"title":"Micro-mobility users’ exposure to PM2.5 pollution: A scoping review","authors":"Cheng-Kai Hsu","doi":"10.1016/j.jcmr.2025.100072","DOIUrl":null,"url":null,"abstract":"<div><div>Micro-mobility (MM) modes, such as bicycles, e-scooters, and motor-scooters, offer sustainable transportation alternatives but may expose users to elevated levels of traffic-related air pollution, particularly fine particulate matter (PM2.5). Existing reviews have predominantly focused on bicyclists or comparisons between active and non-active transportation modes, with limited attention to the MM modes. This scoping review addresses this gap by synthesizing the literature on PM2.5 exposure among MM users. Peer-reviewed articles published in English between 2000 and 2021 were systematically identified through Web of Science, with inclusion criteria targeting studies that reported PM2.5 exposure in MM users. Data extraction emphasized geographic location, PM2.5 exposure metrics, and study design. Analysis of 52 eligible studies revealed a strong geographic bias toward the Global North, with minimal representation from the Global South. The findings also uncovered disparities in PM2.5 exposure levels across MM modes and regions, indicating that the assumed universal health benefits associated with MM might not be equally experienced. Most studies relied on pre-determined measurement routes under controlled conditions to ensure consistency in exposure assessments; however, a smaller subset used free-living settings, likely offering more realistic insights into user behavior and exposure profiles. While PM2.5 concentration was the primary focus, an increasing number of studies incorporated inhalation exposure metrics by estimating or measuring ventilation rates. Future research should prioritize underrepresented MM modes and regions, employing inclusive methodologies that account for behavioral and environmental contexts. This approach is essential for understanding diverse usage patterns and exposure risks, ultimately informing strategies to mitigate the health impacts of PM2.5 on MM users.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"4 ","pages":"Article 100072"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cycling and Micromobility Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950105925000166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Micro-mobility (MM) modes, such as bicycles, e-scooters, and motor-scooters, offer sustainable transportation alternatives but may expose users to elevated levels of traffic-related air pollution, particularly fine particulate matter (PM2.5). Existing reviews have predominantly focused on bicyclists or comparisons between active and non-active transportation modes, with limited attention to the MM modes. This scoping review addresses this gap by synthesizing the literature on PM2.5 exposure among MM users. Peer-reviewed articles published in English between 2000 and 2021 were systematically identified through Web of Science, with inclusion criteria targeting studies that reported PM2.5 exposure in MM users. Data extraction emphasized geographic location, PM2.5 exposure metrics, and study design. Analysis of 52 eligible studies revealed a strong geographic bias toward the Global North, with minimal representation from the Global South. The findings also uncovered disparities in PM2.5 exposure levels across MM modes and regions, indicating that the assumed universal health benefits associated with MM might not be equally experienced. Most studies relied on pre-determined measurement routes under controlled conditions to ensure consistency in exposure assessments; however, a smaller subset used free-living settings, likely offering more realistic insights into user behavior and exposure profiles. While PM2.5 concentration was the primary focus, an increasing number of studies incorporated inhalation exposure metrics by estimating or measuring ventilation rates. Future research should prioritize underrepresented MM modes and regions, employing inclusive methodologies that account for behavioral and environmental contexts. This approach is essential for understanding diverse usage patterns and exposure risks, ultimately informing strategies to mitigate the health impacts of PM2.5 on MM users.
微型交通(MM)模式,如自行车、电动滑板车和电动滑板车,提供了可持续的交通选择,但可能会使用户暴露在与交通相关的空气污染水平升高的环境中,特别是细颗粒物(PM2.5)。现有的评论主要集中在骑自行车者或主动和非主动交通方式的比较上,对MM模式的关注有限。本综述通过综合MM使用者PM2.5暴露的文献来弥补这一空白。通过Web of Science系统地识别了2000年至2021年间发表的同行评议的英文文章,纳入标准针对报告MM用户PM2.5暴露的研究。数据提取强调地理位置、PM2.5暴露指标和研究设计。对52项符合条件的研究的分析显示,全球北方存在强烈的地理偏见,全球南方的代表性很小。研究结果还揭示了PM2.5暴露水平在MM模式和地区之间的差异,表明假设的与MM相关的普遍健康益处可能并不相同。大多数研究依赖于受控条件下预先确定的测量路线,以确保暴露评估的一致性;然而,一小部分使用自由生活设置,可能提供更现实的用户行为和曝光概况。虽然PM2.5浓度是主要关注的焦点,但越来越多的研究通过估计或测量通风率来纳入吸入暴露指标。未来的研究应优先考虑代表性不足的MM模式和地区,采用考虑行为和环境背景的包容性方法。这种方法对于了解不同的使用模式和暴露风险至关重要,最终为减轻PM2.5对MM用户健康影响的策略提供信息。