Dr. Clifton’s research has resulting in two planning tools for the pedestrian environment. A brief description is included below. Follow the links to more detailed information, downloadable files, and FAQ.

PEDS – The Pedestrian Environment Data Scan (or PEDS) is an audit instrument and methodology for evaluating the microscale features of walking environment. The instrument was adapted for the US environment from SPACES (Pikora, 2003) and training materials and implementation protocols were developed by Dr. Kelly Clifton and Dr. Andrea Livi Smith. The methodology pays particular attention to ensuring reliability through detailed training materials and protocols. The instrument and method have been used in a variety of applications, including: physical activity research, pedestrian planning assessment, and landscape architecture studies.

MoPeD (Model of Pedestrian Demand) – MoPeD is a pedestrian demand model that operates in a GIS platform and forecasts pedestrian volumes at intersections for sub-regional areas up to 10 sq. miles. The model framework is based upon the traditional four-step demand modeling process. It has trip generation, distribution and network assignment steps that are sensitive to area land use, pedestrian connectivity and income. It was developed initially as a means to evaluate pedestrian risk exposure in studies of pedestrian safety but it also has applications in planning for pedestrian demand.