This analysis highlights significant urban air quality impacts from truck emissions in an urban environment, suggesting targeted mitigation strategies.
This study introduces the Enhanced Truck Dispersion Framework, an innovative approach to modeling emissions from idling and moving trucks in urban environments. The framework integrates the Behavior, Energy, Autonomy, and Mobility (BEAM) model for the regional transportation model; the Emission Factors (EMFAC) model and the Motor Vehicle Emission Simulator (MOVES) for emission calculations; and the Research LINE (RLINE) source model with a grid-based point-source model for dispersion analysis. Field data collected at a distribution center in Ontario, California, U.S., is used to calibrate and validate the model, particularly for idling trucks. The study simulates traffic patterns in Inland Southern California, focusing on moving vehicles and idling trucks and based on real-world data. Results reveal significant pollutant concentrations near major highways and warehouse districts, highlighting the impact of both moving and idling truck emissions on urban air quality. This comprehensive approach provides valuable insights for policymakers and urban planners in developing targeted strategies to mitigate the environmental and health impacts of truck emissions in urban areas.
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Zhao et al. (2025) studied this question.
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