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Title:

Separating Contextual from Endogenous Effects in Automobile Ownership Models

Accession Number:

01340138

Record Type:

Component

Abstract:

Using the 1997/98 New York Metropolitan Transportation Council household survey and United States Census, the authors estimate an instrumental variable probit model to test the impact of contextual and endogenous social network effects on auto ownership. The authors find that the probability of car ownership is affected by behavior of socio-economic peers and physical neighbors. The authors show that contextual effects can only be identified when the endogenous effect is included. Ceteris parabus, households in poorer neighborhoods are more likely to own vehicles, households in neighborhoods with higher proportions of people with graduate degrees are less likely to own vehicles. The finding suggests car ownership is a status symbol for poorer households and non-car ownership is a status symbol for people with post baccalaureate education. The results are important in two policy contexts: as auto ownership is a precursor to trip generation and mode choice, auto ownership estimation is important to effective travel forecasting; as vehicle miles traveled (VMT) is tied to auto ownership, VMT reduction strategies, as a way to improve air quality, reduce congestion and reduce greenhouse gas emissions may be tied to auto ownership reduction strategies. In either case, correct modeling of auto ownership will lead to more effective policy outcomes.

Monograph Accession #:

01329018

Report/Paper Numbers:

11-0506

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Goetzke, Frank
Weinberger, Rachel R

Pagination:

18p

Publication Date:

2011

Conference:

Transportation Research Board 90th Annual Meeting

Location: Washington DC, United States
Date: 2011-1-23 to 2011-1-27
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

References (32) ; Tables (1)

Geographic Terms:

Subject Areas:

Environment; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2011 Paper #11-0506

Files:

TRIS, TRB

Created Date:

Feb 17 2011 5:28PM