Davide Campagnolo, Andrea Cattaneo, Simona Iodice, Chiara Favero, Simone Lioi, Luca Boniardi, Francesca Borghi, Giacomo Fanti, Marta Keller, Sabrina Rovelli, Carolina Zellino, Giovanni De Vito, Andrea Spinazzè, Silvia Fustinoni, Valentina Bollati, Domenico M. Cavallo
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The novelty of this work consists in examining the effects of the emissions of the first vehicle ahead (henceforth called “leading vehicle”) on pollutant concentrations inside the cabin of the following vehicle (i.e., the car that was equipped with the air monitoring devices), with particular emphasis on the role of the leading vehicle characteristics (e.g., emission reduction technologies). The real-time instrumentation was placed inside the cabin of a petrol passenger car, which was driven by the same operator two times per day on the same route in real driving conditions. The in-cabin ventilation settings were set as follows: windows closed, air conditioning and recirculation modes off, and the fanned ventilation system on. The measurements were conducted over a total of 10 weekdays during two different seasons (i.e., summer and autumn). A video camera fixed to the windscreen was used to retrieve information about traffic conditions and leading vehicle characteristics through careful video analysis. The associations among pollutant concentrations and their potential determinants were evaluated using generalized estimating equation univariate and multiple models. The results confirmed the significant impact of several well-known determinants such as seasonality, microclimatic parameters, traffic jam situations, and route characteristics. Moreover, the outcomes shed light on the key role of leading vehicle emissions as determinant factors of the pollutant concentrations inside car cabins. Indeed, in the tested cabin ventilation conditions, it was demonstrated that in-cabin pollutant concentrations were significantly higher with leading vehicles ahead (from +14.6% to +67.5%) compared to empty road conditions, even though the introduction of newer technologies with better emissions reduction helped mitigate their effect. Additionally, diesel-fuelled leading vehicles compared to petrol-fuelled leading vehicles were impactful on in-cabin CO (−7.2%) and eBC (+45.3%) concentrations. An important effect (+30.4%) on in-vehicle PM<sub>1–2.5</sub> concentrations was found with heavy-duty compared to light-duty leading vehicles. Finally, this research pointed out that road-scale factors are more important determinant factors of in-cabin concentrations than local pollution and meteorological conditions.</p>","PeriodicalId":13529,"journal":{"name":"Indoor air","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6377126","citationCount":"0","resultStr":"{\"title\":\"Effects of the Emissions of Vehicles Ahead on In-Car Exposure to Traffic-Related Air Pollutants: A Multiple Statistical Analysis Approach\",\"authors\":\"Davide Campagnolo, Andrea Cattaneo, Simona Iodice, Chiara Favero, Simone Lioi, Luca Boniardi, Francesca Borghi, Giacomo Fanti, Marta Keller, Sabrina Rovelli, Carolina Zellino, Giovanni De Vito, Andrea Spinazzè, Silvia Fustinoni, Valentina Bollati, Domenico M. 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The novelty of this work consists in examining the effects of the emissions of the first vehicle ahead (henceforth called “leading vehicle”) on pollutant concentrations inside the cabin of the following vehicle (i.e., the car that was equipped with the air monitoring devices), with particular emphasis on the role of the leading vehicle characteristics (e.g., emission reduction technologies). The real-time instrumentation was placed inside the cabin of a petrol passenger car, which was driven by the same operator two times per day on the same route in real driving conditions. The in-cabin ventilation settings were set as follows: windows closed, air conditioning and recirculation modes off, and the fanned ventilation system on. The measurements were conducted over a total of 10 weekdays during two different seasons (i.e., summer and autumn). A video camera fixed to the windscreen was used to retrieve information about traffic conditions and leading vehicle characteristics through careful video analysis. The associations among pollutant concentrations and their potential determinants were evaluated using generalized estimating equation univariate and multiple models. The results confirmed the significant impact of several well-known determinants such as seasonality, microclimatic parameters, traffic jam situations, and route characteristics. Moreover, the outcomes shed light on the key role of leading vehicle emissions as determinant factors of the pollutant concentrations inside car cabins. Indeed, in the tested cabin ventilation conditions, it was demonstrated that in-cabin pollutant concentrations were significantly higher with leading vehicles ahead (from +14.6% to +67.5%) compared to empty road conditions, even though the introduction of newer technologies with better emissions reduction helped mitigate their effect. Additionally, diesel-fuelled leading vehicles compared to petrol-fuelled leading vehicles were impactful on in-cabin CO (−7.2%) and eBC (+45.3%) concentrations. An important effect (+30.4%) on in-vehicle PM<sub>1–2.5</sub> concentrations was found with heavy-duty compared to light-duty leading vehicles. 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Effects of the Emissions of Vehicles Ahead on In-Car Exposure to Traffic-Related Air Pollutants: A Multiple Statistical Analysis Approach
Traffic-related air pollutants inside vehicle cabins are often extremely high compared to background pollution concentrations. The study of the determinants of these concentrations is particularly important for professional drivers and commuters who spend long periods in vehicles. This study is aimed at identifying and quantifying the effect of several exposure determinants on carbon monoxide (CO), equivalent black carbon (eBC), two particulate matter (PM) fractions (PM0.3–1 and PM1–2.5), and ultrafine particle (UFP) concentrations inside a passenger car cabin. The novelty of this work consists in examining the effects of the emissions of the first vehicle ahead (henceforth called “leading vehicle”) on pollutant concentrations inside the cabin of the following vehicle (i.e., the car that was equipped with the air monitoring devices), with particular emphasis on the role of the leading vehicle characteristics (e.g., emission reduction technologies). The real-time instrumentation was placed inside the cabin of a petrol passenger car, which was driven by the same operator two times per day on the same route in real driving conditions. The in-cabin ventilation settings were set as follows: windows closed, air conditioning and recirculation modes off, and the fanned ventilation system on. The measurements were conducted over a total of 10 weekdays during two different seasons (i.e., summer and autumn). A video camera fixed to the windscreen was used to retrieve information about traffic conditions and leading vehicle characteristics through careful video analysis. The associations among pollutant concentrations and their potential determinants were evaluated using generalized estimating equation univariate and multiple models. The results confirmed the significant impact of several well-known determinants such as seasonality, microclimatic parameters, traffic jam situations, and route characteristics. Moreover, the outcomes shed light on the key role of leading vehicle emissions as determinant factors of the pollutant concentrations inside car cabins. Indeed, in the tested cabin ventilation conditions, it was demonstrated that in-cabin pollutant concentrations were significantly higher with leading vehicles ahead (from +14.6% to +67.5%) compared to empty road conditions, even though the introduction of newer technologies with better emissions reduction helped mitigate their effect. Additionally, diesel-fuelled leading vehicles compared to petrol-fuelled leading vehicles were impactful on in-cabin CO (−7.2%) and eBC (+45.3%) concentrations. An important effect (+30.4%) on in-vehicle PM1–2.5 concentrations was found with heavy-duty compared to light-duty leading vehicles. Finally, this research pointed out that road-scale factors are more important determinant factors of in-cabin concentrations than local pollution and meteorological conditions.
期刊介绍:
The quality of the environment within buildings is a topic of major importance for public health.
Indoor Air provides a location for reporting original research results in the broad area defined by the indoor environment of non-industrial buildings. An international journal with multidisciplinary content, Indoor Air publishes papers reflecting the broad categories of interest in this field: health effects; thermal comfort; monitoring and modelling; source characterization; ventilation and other environmental control techniques.
The research results present the basic information to allow designers, building owners, and operators to provide a healthy and comfortable environment for building occupants, as well as giving medical practitioners information on how to deal with illnesses related to the indoor environment.