A new NITC project has developed a robust pedestrian demand estimation tool, the first of its kind in the country.
See the research here: Development of a Pedestrian Demand Estimation Tool
Using the tool, planners can predict pedestrian trips with spatial acuity.
The research was completed in partnership with Oregon Metro, and will allow Metro to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area.
In a previous project completed last year as part of the same partnership, the lead investigator, Kelly Clifton, developed a way to collect data about the pedestrian environment on a small, neighborhood scale that made sense for walk trips. For more about how that works, click here to read our news coverage of that project.
Following the initial project, the next step was to take that micro-level pedestrian data and use it to predict destination choice. For every walk trip generated by the model in the first project, this tool matches it to a likely destination based on traveler characteristics and environmental attributes.
Patrick Singleton, a graduate student researcher at Portland...Read more