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Title:

Comparison Between Gravity and Destination Choice Models for Trip Distribution in Maryland
Cover of Comparison Between Gravity and Destination Choice Models for Trip Distribution in Maryland

Accession Number:

01478242

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Gravity models have been widely used in the trip distribution stage of travel demand models over decades. Recent advancements in research suggest that the destination choice model is a preferred trip distribution method rather than the gravity model. In this paper, a comparison of destination choice model and gravity model is presented using a real case study applied within the Maryland Statewide Transportation Model. The gravity model is formulated as a function of travel time and origin-destination’s production-attraction ability and the destination choice model is based upon the utility maximization principle. Household Travel Survey data collected in the Baltimore-Washington region is used to estimate and calibrate the parameters of both models. Considering the wide spectrum of diversity in growth pattern in the Baltimore-Washington survey data, the study area is divided into eight regions to reflect region specific travel behavior. From the result, it is found that a destination choice model better replicates the observed trip length and origin-destination matrix for home based work (HBW) trips. In contrast, the gravity model does not succeed in accurately estimating trip attractions when compared to the survey data. The result shows that a destination choice model performs better than a gravity model in this a statewide model. This research can be used as a tool to assist in choosing a trip distribution method for travel demand modeling.

Supplemental Notes:

This paper was sponsored by TRB committee ADA10(2) Statewide Travel Demand Forecasting.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3196

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mishra, Sabyasachee
Wang, Yanli
Zhu, Xiaoyu
Moeckel, Rolf
Mahapatra, Subrat

Pagination:

22p

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; Maps; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3196

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:39PM