Sponsor
This research was funded by the National Institute for Transportation and Communities, or NITC, a program of TREC at Portland State University.
Document Type
Report
Publication Date
9-2013
Subjects
Walking -- Forecasting, Transportation demand management -- Mathematical models, Choice of transportation -- Forecasting, Transportation -- Planning
Abstract
There is growing support for improvements to the quality of the walking environment, including more investments to promote pedestrian travel. Metropolitan planning organizations (MPOs) are improving regional travel demand forecasting models to better represent walking and bicycling and to expand the evaluative capacity of models to address policy-relevant issues like air quality, public health, and the smart allocation of infrastructure and other resources. This report describes an innovative, spatially disaggregate method to integrate walking activity into trip-based travel models. Using data for the Portland, OR, metropolitan area, the method applies trip generation at a new micro-scale spatial unit: a 264-foot-by-264-foot (80-meters-by-80-meters) pedestrian analysis zone (PAZ). Next, a binary logit walk mode split model — using a new pedestrian environment measure — estimates the number of walk trips generated. Non-walk trips are then aggregated up to larger transportation analysis zones (TAZs) for destination choice, mode choice, and traffic assignment. Finally, there are opportunities for choosing destinations and for routing of the PAZ pedestrian trips. This method improves travel models’ sensitivity to policy-and investment-related walking influences, and it could operate as a standalone tool for rapid scenario analysis. Care must be taken when applying this method with respect to scalability, forecasting, and operational challenges.
DOI
10.15760/trec.120
Persistent Identifier
http://archives.pdx.edu/ds/psu/15445
Citation Details
Clifton, K. J., Singleton, P. A., Muhs, C. D., Schneider, R. J., & Lagerwey, P. Improving the Representation of the Pedestrian Environment in Travel Demand Models, Phase I. OTREC-ED-510. Portland, OR: Transportation Research and Education Center (TREC), 2013. http://dx.doi.org/10.15760/trec.120
Included in
Engineering Commons, Transportation Commons, Urban Studies Commons, Urban Studies and Planning Commons
Description
This is a final report, OTREC-ED-510, from the NITC program of TREC at Portland State University, and can be found online at: http://nitc.trec.pdx.edu/research/project/510