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Title:

Modeling Emission Policies Through Travel Demand Mechanisms: Analysis of the Best Reduction Strategies

Accession Number:

01475305

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Emission reduction strategies are gaining attention as planning agencies work towards adherence to air quality conformity standards. As state departments of transportation (DOTs) and metropolitan planning organizations (MPOs) struggle to find more options to reduce Greenhouse Gases (GHG), emission pricing offers a solution. To consider emission pricing as an alternative, planners and policymakers will need tools to understand the implications on travel behavior of private vehicle users. In this paper the authors present an integrated travel demand and emission model to incorporate policy strategies for emission reduction. First, the travel demand model determines the destination, mode and route choice of the users in response to a particular strategy set by the planner. Second, the emission model provides GHG (NOx, VOC, and CO2) estimates at a very detailed level in the transportation network. A logit-based destination choice and mode choice is proposed and the user’s response to a strategy in assignment is captured by Frank-Wolfe algorithm. A Base-case and four models are proposed to achieve emission reduction in a multimodal transportation network. Each model provides several insights to pollutant specific emission, how different function classes of the network are affected by policies, impacts on vehicle miles of travel (VMT), total system emission, and total system travel time. The complete framework is applied to Montgomery County’s (located in the Washington DC-Baltimore region in the United States) multimodal transportation network. It is observed that each model has a set of advantages and limitations in terms of emission reduction.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-0148

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Welch, Timothy F
Mishra, Sabyasachee

Pagination:

27p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Montgomery County (Maryland)

Subject Areas:

Environment; Planning and Forecasting; Transportation (General); I15: Environment; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-0148

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:11PM