Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review

Sabreena Anowar, Naveen Eluru and Luis F. Miranda-Moreno

Transport Reviews, 2014, vol. 34, issue 4, 441-473

Abstract: Household vehicle ownership, and the associated dimensions including fleet size, vehicle type and usage, has been one of the most researched transport topics. This paper endeavors to provide a critical overview of the wide-ranging methodological approaches employed in vehicle ownership modeling depending on the ownership representation over the past two decades. The studies in the existing literature based on the vehicle ownership representation are classified as: exogenous static, exogenous dynamic, endogenous static and endogenous dynamic models. The methodological approaches applied range from simple linear regressions to complex econometrics formulations taking into account a rich set of covariates. In spite of the steady advancement and impressive evolution in terms of methodological approaches to examine the decision process, we identify complex issues that pose a formidable challenge to address the evolution of vehicle ownership in the coming years. Specifically, we discuss challenges with data availability and methodological framework selection. In light of these discussions, we provide a decision matrix for aiding researchers/practitioners in determining appropriate model frameworks for conducting vehicle ownership analysis.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)

Downloads: (external link)
http://hdl.handle.net/10.1080/01441647.2014.915440 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transr:v:34:y:2014:i:4:p:441-473

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TTRV20

DOI: 10.1080/01441647.2014.915440

Access Statistics for this article

Transport Reviews is currently edited by Professor David Banister and Moshe Givoni

More articles in Transport Reviews from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().