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The present investigation examines the contrast between traditional travel cost factors and personal exposure to PM₁₀, in optimum route choice selections. A land use regression model was applied to Dublin city to enable prediction of PM₁₀ at route level throughout the city. This exposure data enabled the comparison of optimum route choice for lowest: travel time, distance, running cost, generalised cost, CO₂ emission and air pollution dose.

The results showed that lowest travel time and distance routes did not offer the lowest dose, and routing decisions based on time, distances and related parameters were most contradictory with the dose based routing exercise. When the lowest dose routes were compared against shortest routes, the lowest dose route only caused a small increase (<2%) in these values costing a small saving from dose (<3.8%). However, when routes were based on lowest CO₂, the small …