We performed more than a year of mobile, 1 Hz measurements of lung-deposited surface area (LDSA, the surface area of 20-400 nm diameter particles, deposited in alveolar regions of lungs) and optically assessed fine particulate matter (PM), black carbon (BC), and nitrogen dioxide (NO) in central London. We spatially correlated these pollutants to two urban emission sources: major roadways and restaurants. We show that optical PM is an ineffective indicator of tailpipe emissions on major roadways, where we do observe statistically higher LDSA, BC, and NO. Additionally, we find pollutant hot spots in commercial neighborhoods with more restaurants. A low LDSA (15 μm cm) occurs in areas with fewer major roadways and restaurants, while the highest LDSA (25 μm cm) occurs in areas with more of both sources. By isolating areas that are higher in one source than the other, we demonstrate the comparable impacts of traffic and restaurants on LDSA. Ratios of hyperlocal enhancements (ΔLDSA:ΔBC and ΔLDSA:ΔNO) are higher in commercial neighborhoods than on major roadways, further demonstrating the influence of restaurant emissions on LDSA. We demonstrate the added value of using particle surface in identifying hyperlocal patterns of health-relevant PM components, especially in areas with strong vehicular emissions where the high LDSA does not translate to high PM.
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http://dx.doi.org/10.1021/acs.est.2c08096 | DOI Listing |
Accid Anal Prev
December 2024
UCF Smart & Safe Transportation Lab, Department of Civil, Environmental and Construction Engineering, University of Central Florida, 12800 Pegasus Drive, Orlando, FL 32816, United States. Electronic address:
Intersections are frequently identified as crash hotspots for roadways in major cities, leading to significant human casualties. We propose crash likelihood prediction as an effective strategy to proactively prevent intersection crashes. So far, no reliable models have been developed for intersections that effectively account for the variation in crash types and the cyclical nature of Signal Phasing and Timing (SPaT) and traffic flow.
View Article and Find Full Text PDFIn an environment increasingly dominated by roads, wildlife crossing structures (WCS) have been installed to decrease wildlife mortality and improve habitat linkages. In South Texas, vehicle collisions have been a major mortality source for the endangered ocelot (). To mitigate threats to this species, eight WCS, along with associated fencing, were strategically placed along Farm-to-Market Road 106 (FM106), which passes through ocelot habitat.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
Department of Civil and Environmental Engineering, Michigan State University, Lansing, MI 48910, USA. Electronic address:
Navigating intersections is a major challenge for autonomous vehicles (AVs) because of the complex interactions between different roadway user types, conflicting movements, and diverse operational and geometric features. This study investigated intersection-related AV-involved traffic conflicts by analyzing the Arogoverse-2 motion forecasting dataset to understand the driving behavior of AVs at intersections. The conflict scenarios were categorized into AV-involved and no AV conflict scenarios.
View Article and Find Full Text PDFIndian J Community Med
October 2024
Department of Community Medicine, SRM Medical College Hospital and Research Centre, SRMIST, Chengalpattu, Tamil Nadu, India.
Background: Chronic obstructive pulmonary disease (COPD) is a serious lung condition that imposes a significant financial burden on individuals and society, straining the medical system. According to the World Health Organization, it was the third leading cause of death worldwide in 2020. In India, it ranks as the second leading cause of death, and in Tamil Nadu, it is the tenth.
View Article and Find Full Text PDFEnviron Epidemiol
December 2024
Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, North Carolina.
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