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Subways, as a primary component of urban public transportation, harbor particulate matter within their microenvironments that pose health risks to commuters. To enhance the health of individuals during their subway commutes, a study was conducted to analyze the spatiotemporal heterogeneity of fine particulate matter (PM2.5) concentrations in the subway microenvironment. The results show that: The PM2.5 concentration in underground train carriages on weekdays (113.67 μg/m3) is higher than on non-working days (47.62 μg/m3), and the PM2.5 concentration in underground train carriages is significantly higher than in above-ground and elevated sections (seven times higher) ; lines constructed earlier have higher PM2.5 concentrations than newly built lines; the PM2.5 concentration on platforms exhibit a cyclical trend with the arrival and departure of trains; fully enclosed screen doors are more effective than full-height security doors in controlling the accumulation of particles; the PM2.5 concentration during off-peak hours (75 μg/m3) is lower than during peak hours (102 μg/m3). Furthermore, the study analyzed the potential impact of off-peak travel strategies on the PM2.5 exposure levels of commuters, the results suggests that off-peak travel could reduce exposure by 25.58% during a single commute. The results of the study provide data support for the prevention.
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地铁作为城市公共交通的主要组成部分,其微环境中的颗粒物会给通勤人群带来健康风险。为保障出行人群地铁通勤过程中的出行健康,研究开展地铁微环境细颗粒物浓度(PM2.5)的时空异质性分析。结果表明,地下线路工作日车厢内PM2.5浓度(113.67 μg/m3)高于非工作日(47.62 μg/m3),地下线路车厢内的PM2.5浓度远高于地面以及高架部分(7倍);建成时间较早的线路PM2.5浓度高于新建线路;随着列车的驶入驶出,站台的PM2.5浓度呈现出周期性的变化趋势;全封闭的屏蔽门在控制颗粒物聚集方面比全高安全门更有效;平峰时间段PM2.5浓度(75 μg/m3)低于高峰时间段(102 μg/m3)。此外,分析了错峰出行策略对通勤人群PM2.5暴露水平的潜在影响,研究表明,若错峰出行,将减少一次通勤过程中25.58%的暴露。研究成果可为地下地铁颗粒物防治提供数据支撑。
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1.北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室,北京 100044, bio={"content":"
牟进超(1999—),女,山东日照人,硕士,主要研究方向为交通与环境交叉学科。E-mail: 22120891@bjtu.edu.cn
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牟进超(1999—),女,山东日照人,硕士,主要研究方向为交通与环境交叉学科。E-mail: 22120891@bjtu.edu.cn
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