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An investigation into the effect of weather variables on traffic flow at a site in Melbourne, Australia, for the period 1989-1996 was performed. Rainfall was the strongest correlated weather parameter and it had the greatest impact in winter and spring, when traffic volume is reduced on wet days. There are statistically significant decreases of 1.35 and 2.11% in traffic volume on wet days in winter and spring. The reduction increases to 2-3% over the 2-10mm range, the largest being 3.43% for the 2-5mm class in spring. For the first time, our study considers separately daytime and nighttime periods. We found a reduction of 1.86% in winter and 2.16% in spring during daytime rainfall. The reduction at nighttime is significant over all seasons, ranging from 0.87% in winter to 2.91% in spring. We have explored an application where the traffic volume was used to normalise the road accident count and found the rain effect to increase by 2.4, 1.9 and 5.2% relative to the daily, daytime and nighttime dry mean accident count. Generally, the normalised count is greater than the raw count, with a larger increase for the higher rainfall classes.
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http://dx.doi.org/10.1016/j.aap.2004.07.005 | DOI Listing |
Environ Epidemiol
October 2025
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
Background: Long-term exposure to air pollution may be related to neural atrophy or cerebrovascular pathology. A major source of air pollution is vehicle traffic, which is modifiable. In this study, we estimated associations between four traffic-related air pollutants and five neuroimaging biomarkers.
View Article and Find Full Text PDFSci Rep
August 2025
North China University of Technology, Beijing, 100000, China.
With rapid economic development, expressway traffic volumes have surged, resulting in severe congestion. To address this, expanding expressways to two-way ten-lane configurations has become a primary strategy for alleviating traffic pressure. Given the absence of unified national design standards for such highways, this study employs VISSIM microscopic traffic simulation integrated with the Surrogate Safety Assessment Model (SSAM) to investigate the relationship between speed change lane geometries and their design parameters.
View Article and Find Full Text PDFEcotoxicol Environ Saf
August 2025
Key Laboratory of Urban Air Particulate Pollution Prevention and Control of Ministry of Ecology and Environment, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, Chi
Research on the spatial pattern of PM pollution has achieved progress recently, but there are still shortcomings in the effects of macro socioeconomic factors and regional connectivity of PM emissions. To address these issues, our study followed an analytical framework integrating empirical orthogonal function, Morlet wavelet analysis, time series decomposition, back propagation neural network, geographical detector and social network analysis. This framework was applied to a dataset embodying PM, meteorology and socioeconomics over seven years (2015-2021) across 279 cities of mainland China.
View Article and Find Full Text PDFAnal Methods
August 2025
Department of Environmental Sciences, Institute Jožef Stefan, Ljubljana, Slovenia.
A sampling device was developed for collecting and size-fractionating airborne particulate matter (PM). A low-volume cascade system with polytetrafluoroethylene membrane filters (PM, PM, and PM) connected to an ultrapure-water trap was used to retain the PM fraction that passed through the filters. In the collected samples, metal(oid)s and platinum group elements (PGEs) were determined by inductively coupled plasma mass spectrometry after microwave-assisted digestion using a mixture of acids.
View Article and Find Full Text PDFToxics
July 2025
Transportation Environmental Research Department, Korea Railroad Research Institute (KRRI), Cheoldo Bangmulgwanro, Uiwang-si 16105, Republic of Korea.
Rapid industrialization and urbanization have progressed in Korea, yet public attention to hazardous pollutants emitted from industrial complexes remains limited. With the increasing coexistence of industrial and residential areas, there is a growing need for real-time monitoring and management plans that account for the rapid dispersion of hazardous air pollutants (HAPs). In this study, we conducted spatiotemporal data collection and analysis for the first time in Korea using real-time measurements obtained through mobile extractive differential optical absorption spectroscopy (Me-DOAS) mounted on a solar occultation flux (SOF) vehicle.
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