Factors evaluation of PM2.5 diffusion in street canyons in Dalian based on numerical simulation

Building Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Language: Английский

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Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 965, P. 178578 - 178578

Published: Jan. 31, 2025

Language: Английский

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The hidden risk in high-temperature urban environments: assessment of metal elements and human health risks of particulate matter at street

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 488, P. 137475 - 137475

Published: Feb. 2, 2025

Language: Английский

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Posture Detection of Passengers’ Movement When Boarding and Alighting an Urban Bus: A Pilot Study in Valparaíso, Chile

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(10), P. 5367 - 5367

Published: May 12, 2025

This study presents an artificial intelligence-based approach for the pose detection of passengers’ skeletons when boarding and alighting from urban bus in Valparaíso, Chile. Using AlphaPose estimator activity recognition model based on Random Forest, video data were processed to analyze poses activities passengers. The results obtained allow evaluation safety ergonomics public transportation, providing valuable information improving design accessibility buses. not only enhances understanding passenger behavior but also contributes optimization systems accommodate diverse needs, ensuring a safer more comfortable environment all users. accurately estimates posture passengers, offering insights into their movements interacting with bus. In addition, Forest recognizes variety activities, walking sitting, helping how passengers interact space. analysis helps identify areas where improvements can be made terms accessibility, comfort, safety, contributing overall transport systems. opens up new possibilities AI-driven transportation serve as foundation future planning.

Language: Английский

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Trends in Emissions from Road Traffic in Rapidly Urbanizing Areas

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7400 - 7400

Published: Aug. 28, 2024

The process of urbanization has facilitated the exponential growth in demand for road traffic, consequently leading to substantial emissions CO2 and pollutants. However, with development expansion network, distribution emission characteristics pollutant are still unclear. In this study, a bottom-up approach was initially employed develop high-resolution inventories (NOx, CO, HC) from primary, secondary, trunk, tertiary roads rapidly urbanizing regions China based on localized factor data. Subsequently, standard length method utilized analyze spatiotemporal across different networks while exploring their heterogeneity. Finally, influence elevation surface vegetation cover traffic-related taken into consideration. results indicated that CO2, HC, NOx increased significantly 2020 compared those 2017 trunk roads, Fuzhou uneven; 2017, areas high were predominantly concentrated central low coverage levels topography but expanded 2020. This study enhances our comprehension variations carbon resulting regional network expansion, offering valuable insights case studies worldwide undergoing similar infrastructure development.

Language: Английский

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The Hidden Risk in High-Temperature Urban Environments: Assessment of Metal Elements and Human Health Risks of Particulate Matter at Street

Published: Jan. 1, 2024

Language: Английский

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