Equity is a major concern in the transportation of hazardous materials. There is significant evidence that the negative impacts from these decisions are disproportionately borne by low-income individuals and communities of color leading to increased health risks. Furthermore, few studies have explored the aspect of assigning relatively less risk to disadvantaged groups, known as vertical equity. This paper integrates vertical equity into a mixed-integer linear programming model using the Suits coefficient. A custom solution procedure is then developed using Lagrangian relaxation and column generation. The model and solution procedure are applied to a real-world case study focused on the siting of interim storage facilities for spent nuclear fuel in the United States. This study finds vertically equitable solutions and compares those solutions to those with horizontal equity and without equity. We see the gains in vertical equity come at a price of higher accident rates and higher transportation costs.