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Title:

Analysis of Car Type Preferences Among Students Based on Seemingly Unrelated Regression

Accession Number:

01622556

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441926

Abstract:

Vehicle type purchase intentions are interesting from a marketing point of view, because car manufacturers are competing to attract potential buyers. Furthermore, from the point of view of transport planners as well as the government, there are environmental concerns. This study focused on students’ intention to purchase different types of vehicles. The study obtained a sample of 1,229 students from seven countries, to understand cultural differences in preferences. The dependent variables were intention to buy cars in different categories, including hybrid and electric cars. The aim was to explain intentions with three categories of explanatory variables: psychological aspects, sociodemographics, and site-specific dummy variables. To account for correlation between the dependent variables, the analysis used seemingly unrelated regression. The study found that attitudinal factors are significant, particularly for the intention to buy more environmentally friendly types of vehicles; the paper discusses policy implications. The study observed the importance of the symbolic-affective value of a car in explaining car type preferences, as well as the importance of awareness of the negative effects cars might have on the environment and society. It is suggested that these findings can be used to promote more environmentally friendly cars.

Monograph Accession #:

01648400

Report/Paper Numbers:

17-01477

Language:

English

Authors:

Belgiawan, Prawira Fajarindra
Schmöcker, Jan-Dirk
Abou-Zeid, Maya
Fujii, Satoshi

Pagination:

pp 85–93

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2666
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441926

Media Type:

Digital/other

Features:

Figures (1) ; References (34) ; Tables (4)

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:29AM

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