Traffic, Air Quality, and Health Assessment in a Regional Agent-Based Transportation

Transport interventions offer opportunities to reduce the adverse environmental impacts related totraffic. However, the impacts on vehicle activities, emissions, air quality, and health outcomes areoften assessed in silos and focused on aggregated effects. Current practice lacks a scalable, opensource, and modular tool that can efficiently simulate personal and vehicular travel and theresulting energy, emissions, and environmental impacts of a regional transportation system at highresolution. This paper presents a newly developed integrated assessment framework based on ahigh-resolution, agent-based transportation model for regional traffic simulations, emissionmodeling, pollutant exposure and health assessment. The integrated model is first calibrated anddemonstrated for four transport intervention scenarios. The results highlight the differentmagnitudes and distributions of the multifaceted impacts across space and population. The toolcan be extended to other regions and a variety of policy levers to inform sustainable, efficient, andeffective transportation planning.