Development of a Pedestrian Demand Estimation Tool
Thursday, September 29, 2016, 10:01 a.m.
Thursday, September 28, 2017, 10:01 a.m. EDT
CM | 1Add to My Log
Why model pedestrians?
A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, this tool allows for policy-sensitive mode shifts away from automobile travel.
There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. 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 this pedestrian demand estimation tool which can 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.
This webinar recording will provide an overview of how the tool functions as well as a framework for applying this method in other cities. Please visit the resource url to access the video, and make sure to complete the evaluation survey so that we know that you have watched it!
Kelly J. Clifton is a Professor of Civil and Environmental Engineering at Portland State University. Dr. Clifton conducts research and teaches courses in various aspects of transportation planning and policy, including: travel behavior, land use and transportation, physical activity and health, and travel survey methods. She has a PhD in Community and Regional Planning from the University of Texas at Austin, MS in Planning from the University of Arizona, and BS in Mechanical Engineering from West Virginia University.