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Title:

Evaluation of Walk and Bicycle Demand Modeling Practice

Accession Number:

01724188

Record Type:

Monograph

Abstract:

This project is an extension to previous NCHRP project 08-78 (NCHRP Report 770) “Estimating Bicycling and Walking for Planning and Project Development: A Guidebook.” Since the release of NCHRP Report 770 in 2014, the number of agencies using advanced methods to predict bicycling and walking demand has continued to grow. The methods range from enhanced activity-based models to more traditional trip-based models. The purpose of this project is to evaluate the current state of research and practice in regional pedestrian and bicycle demand modeling for both commute and non-commute trips by regional metropolitan planning organizations (MPOs) and state departments of transportation (DOTs) across the United States (US). The overall state-of-the-practice is surveyed and summarized, then compared to the state-of-the-art, as determined from recent academic literature and the most advanced recent or ongoing agency modeling projects. Gaps between common practice and the more advanced approaches are identified and communicated to practitioners, with an emphasis on what will be needed for agencies to address those gaps, in terms of data, expertise, and resources.

Report/Paper Numbers:

NCHRP Project 08-36, Task 141

Language:

English

Corporate Authors:

RSG

2200 Wilson Boulevard, Suite 205
Arlington, VA 22201 United States

RAND Corporation

1200 South Hayes Street
Arlington, VA 22202 United States

American Association of State Highway and Transportation Officials (AASHTO)

444 North Capitol Street, NW
Washington, DC 20001 United States

National Cooperative Highway Research Program

Transportation Research Board
500 Fifth Street, NW
Washington, DC 20001 United States

Pagination:

146p

Publication Date:

2019-5

Media Type:

Digital/other

Features:

Appendices; Figures; References; Tables

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting

Files:

TRIS

Created Date:

Nov 26 2019 2:15PM