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Unpacking Preference

How Previous Experience Affects Auto Ownership in the United States

Bibliographic Data

ID10864347
AuthorsRachel Weinberger (University of Pennsylvania, corresponding author), Frank Goetzke (University of Louisville, corresponding author)
Year2010
Volume47
Issue10
Pages2111-2128
Publication date2010-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0042098009357354
OpenAlexW2120461804
LanguageEN
Citations received16
References cited18

As environmental concerns mount alongside increasing auto dependence, research has been devoted to understanding the number of automobiles households own. The 2000 US census public use micro sample is used to demonstrate the importance of preference formation in auto ownership by studying auto ownership among recent movers. Using a multinomial probit model, the paper demonstrates that residents in the US transit cities who moved from major metropolitan areas are more likely to own fewer vehicles than counterparts who moved from smaller metropolitan areas and non-metropolitan areas. It is concluded that these results are due to learned preferences for levels of car ownership. Once the self-reinforcing ‘cultural knowledge’ of living without cars is lost, it could be difficult to regain. A focus on children and young adults, familiarising them with alternatives to the car may be an important approach to developing collective preferences for fewer cars

Business · Car ownership · Census · Demographic economics · Econometrics · Economics · Geography · Metropolitan area · Microeconomics · Multinomial probit · Ordered probit · Political science · Population · Preference · Probit · Probit model · Public transport · Sample (material · Sociology · Demography · Economic and Environmental Valuation · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works16
Citations per year1,14
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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