Conventional four-step travel demand modeling is overdue for a major update. The latest NITC report from the University of Utah offers planners better predictive accuracy through an improved model, allowing for much greater sensitivity to new variables that affect travel behavior. Specifically, it accounts for varying rates of vehicle ownership, intrazonal travel, and multimodal mode choices. Used by nearly all metropolitan planning organizations (MPOs), state departments of transportation,… Read More

As a social determinant of health, transportation significantly contributes to well-being through several pathways. Researchers and practitioners have called for health indicators as one way to integrate public health concerns into transportation decision-making. However, it is unclear how indicators are used and what their impact is on policy. This case study of five cities explored how health-related indicators are being used in municipal transportation plans, whether they are… Read More