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Title:

Modeling the Commute Mode Share of Transit Using Continuous Accessibility to Jobs

Accession Number:

01519928

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper shares the results of an accessibility-based model of aggregate commute mode share, focusing on the share of transit relative to auto. It demonstrates the use of continuous accessibility --calculated continuously in time, rather than at a single or a few departure times--for the evaluation of transit systems. These accessibility calculations are accomplished using only publicly-available data sources. A binomial logit model is estimated which predicts the likelihood that a commuter will choose transit rather than auto for a commute trip based on aggregate characteristics of the surrounding area. Variables in this model include demographic factors as well as detailed accessibility calculations for both transit and auto. The model achieves a p² value of 0.597, and analysis of the results suggests that continuous accessibility of transit systems may be a valuable tool for use in modeling and forecasting.

Supplemental Notes:

This paper was sponsored by TRB committee AP025 Public Transportation Planning and Development.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-5243

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Owen, Andrew
Levinson, David M

Pagination:

20p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-5243

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:50PM