A model was created to predict how many people would use high-speed rail. It helps decide where to build new rail lines and if old proposals are worth studying further. The model looks at different types of trips and how much they cost and how long they take on different modes of transportation. It then figures out if people would switch to high-speed rail or stick with their current way of traveling. The model was tested in New York and worked well. It's easy to use and doesn't need a lot of data to work.