This research was funded by the National Institute for Transportation and Communities, or NITC, a program of TREC at Portland State University.
Pedestrians, Pedestrians -- Safety measures, Trip generation -- Oregon -- Portland, Transportation -- Planning -- Statistical methods
There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Such efforts often require analytical non-motorized planning tools to estimate levels of pedestrian demand that are sensitive to environmental and demographic factors at an appropriate scale. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short.
To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop a pedestrian demand estimation tool. For generations, planners have been using statistical models to forecast travel demand, but these models have traditionally been auto-centered. The new tool will allow planners to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area. The tool is also designed to be replicable, so that other metropolitan areas can adapt the model to begin estimating pedestrian demand in their cities.
Clifton, K., Singleton, P., Muhs, C., and Schneider, P. How to Estimate Pedestrian Demand. NITC-RR-677. Portland, OR: Transportation Research and Education Center (TREC), 2015.