Vehicle-generated emissions remain a serious threat to the health of urban and suburban communities. Among the strategies implemented to address this environmental problem are area- and cordon-based pricing (ACP) schemes. Experiences in major cities such as London, Stockholm, and Milan show that ACP schemes are effective in reducing traffic emissions and the related public health risks. However, designing ACP schemes continues to be a challenging task given the complexities of estimating the multidimensional effects of this type of strategy. In response to this design problem, optimization-based approaches have been proposed to aid transportation planning agencies in determining optimal charging boundary locations and toll levels. Existing engineering methodologies focus only on congestion-related goals, and employ an aggregate representation of travel demand for a single design period. The assessment of public health impacts due to traffic requires information on disaggregate travel and activity participation behavior, as well as spatially and temporally varying pollutant concentrations. Existing methodologies do not meet these planning needs for agencies interested in designing ACP schemes that explicitly account for both congestion and public health.