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Title:

Identifying TDM Corridors in Large Metropolitan Regions

Accession Number:

01594273

Record Type:

Component

Abstract:

Transportation Demand Management (TDM) remains an active goal for many metropolitan regions. While much has been written about TDM methods and their impacts, less is in the literature about quantitative methods to identify corridors where TDM may be feasible and have the greatest impact. In this paper, the authors develop and implement quantitative techniques to identify locations where TDM initiatives are (and are not) feasible to shift demand in time, space or mode. The authors apply the approach to the Greater Toronto and Hamilton Area (GTHA) in Ontario Canada. The results demonstrate that the opportunities to shift auto demand in time are limited in the GTHA due to extended periods where demand reaches or exceeds capacity. By analyzing travel between mobility hubs (activity centers) in the GTHA, the authors identify several corridors where transit already provides service that is competitive with auto travel in terms of user costs. These corridors are strong candidates for improved performance through simple information provision. In other cases, transit or underutilized auto facilities may become competitive with existing congested freeways if effective road pricing initiatives are introduced. The results of the work can inform and prioritize TDM initiatives in the GTHA.

Supplemental Notes:

This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-5884

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Casello, Jeffrey M
Chiu, Ying Hay
Yeung, Kevin

Pagination:

19p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-5884

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:36PM