|
Title: Representing Walking Activity in Trip-Based Travel Demand Forecasting Models: A Proposed Framework
Accession Number: 01518574
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Support for improving the quality of the walking environment, including more investments to promote pedestrian travel, is growing. Metropolitan planning organizations (MPOs) are modifying regional travel demand forecasting models to better represent walking and bicycling and better address policy-relevant issues like air quality, public health, and the smart allocation of infrastructure and other resources. This paper describes an innovative, spatially-disaggregate framework to integrate walking activity into trip-based travel models. Designed for the Portland, Oregon, metropolitan area, the proposed method applies trip generation at a new micro-scale spatial unit: a 264 ft by 264 ft (80 m by 80 m) 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 potential routing of the PAZ pedestrian trips. This framework would improve travel model 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.
Supplemental Notes: This paper was sponsored by TRB committee ADB40(1) Emerging Methods. Alternate title: Representing Walking Activity in Trip-Based Travel Demand Forecasting Models: Proposed Framework.
Monograph Title: Monograph Accession #: 01503729
Report/Paper Numbers: 14-4253
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Pagination: 18p
Publication Date: 2014
Conference:
Transportation Research Board 93rd Annual Meeting
Location:
Washington DC Media Type: Digital/other
Features: Figures; Maps; References
TRT Terms: Geographic Terms: Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2014 Paper #14-4253
Files: TRIS, TRB, ATRI
Created Date: Jan 27 2014 3:28PM
|