This study presents real‐time concentrations of traffic‐related air pollutants during 499 trips conducted by 50 Parisian taxi drivers from PUF‐TAXI project. Ultrafine particles (UFP), black carbon (BC), and nitrogen dioxide (NO₂)/carbon monoxide (CO) were measured inside vehicles by Diffusion Size Classifier Miniature^®, microAeth^®, and Gas‐Pro^®, respectively, for nine hours. Vehicle/trip data characteristics were collected by questionnaires and on ambient conditions by monitoring stations. The associations between pollutant levels and their potential determinants were analyzed using generalized estimating equation model. Determinants of in‐vehicle pollutants levels were identified: (1) ambient factors (meteorology and ambient pollution)—affecting BC, NO_2, and CO; (2) vehicle characteristics—affecting all pollutants; and (3) trip‐related driving habits—affecting UFP, BC, and CO. We highlight that commuters can, therefore, avoid high in‐vehicle air pollutant concentrations mainly by (1) closing windows and activating air‐conditioning under air recirculation mode in congested traffic; (2) smooth driving; and (3) maintaining cabin air filters.

中文翻译：

---

巴黎地区车辆内超细颗粒、黑碳、二氧化氮和一氧化碳浓度的决定因素：PUF-TAXI 研究

本研究展示了来自 PUF-TAXI 项目的 50 名巴黎出租车司机在 499 次出行期间与交通相关的空气污染物的实时浓度。超细颗粒 (UFP)、黑碳 (BC) 和二氧化氮 (NO ₂ )/一氧化碳 (CO) 通过扩散尺寸分级器 Miniature ^®、microAeth ^®和 Gas-Pro ^®测量车内，分别为九个小时。车辆/行程数据特征是通过调查问卷和监测站的环境条件收集的。使用广义估计方程模型分析了污染物水平与其潜在决定因素之间的关联。确定了车内污染物水平的决定因素：(1) 环境因素（气象和环境污染）——影响 BC、NO ₂和 CO；(2) 车辆特性——影响所有污染物；(3) 与出行相关的驾驶习惯——影响 UFP、BC 和 CO。因此，我们强调通勤者可以主要通过 (1) 在空气再循环模式下关闭窗户和启动空调来避免高浓度的车内空气污染物在拥挤的交通中；(2) 行驶平稳；(3) 维护客舱空气滤清器。