Understanding car ownership motivations among Indonesian students

Belgiawan, Schmöcker, Fujii, 2016, in International Journal of Sustainable Transportation

doi:10.1080/15568318.2014.921846
Location Bandung, Indonesia
Population Students
Sample size 500
Factor analysis type principal components, varimax rotation
Stepwise regression no
Removal of insignificant variables yes
Reviewed by LCM

Abstract

Car and motorcycle ownership levels are increasing rapidly in southeast Asian developing countries, leading to unsustainable developments. In this article we focus on car ownership motivations in Bandung, Indonesia, where cars have become the main contributor to traffic congestion. We suggest that attitudes toward cars are important for explaining car ownership trends. Using data from 500 undergraduate students from one university in Bandung, this study constructs five factors regarding car perception through principle component analysis: symbolic/affective, arrogant prestige, independence, comfort, and social/env. care. These five factors plus some sociodemographic variables, such as monthly income, are used as explanatory variables for modeling car ownership using structural equation modeling. Our results suggest that primarily independence, arrogant prestige, and some sociodemographic variables significantly influence car purchase decisions. We discuss tentative implications for transport policy, given the limitations of our sample. © 2016 Taylor & Francis Group, LLC.

Factors

Models

Source variable Target variable Effect p-value Effect type
Monthly income Commuting distance -1.18 0.0 direct_effect
Commuting distance Frequency of using PT -0.15 0.001 direct_effect
Symbolic/affective Car ownership -0.04 0.484 direct_effect
Arrogant prestige Car ownership -0.33 0.0 direct_effect
Independence Car ownership 0.44 0.0 direct_effect
Comfort Car ownership 0.13 0.168 direct_effect
Social/env. Care Car ownership 0.54 0.0 direct_effect
Commuting distance Car ownership 0.02 0.038 direct_effect
PT is reliable Car ownership -0.09 0.019 direct_effect
Frequency of using PT Car ownership -0.05 0.0 direct_effect
Monthly income Car ownership 0.26 0.0 direct_effect
PT is fast Car ownership 0.02 0.562 direct_effect
Source variable Target variable Effect p-value Effect type
Monthly income Commuting distance -1.2 0.0 direct_effect
Commuting distance Frequency of using PT -0.15 0.001 direct_effect
Monthly income Independence 0.21 0.005 direct_effect
Arrogant prestige Car ownership -0.2 0.001 direct_effect
Independence Car ownership 0.3 0.0 direct_effect
Social/env. Care Car ownership 0.14 0.338 direct_effect
Commuting distance Car ownership 0.02 0.033 direct_effect
PT is reliable Car ownership -0.09 0.019 direct_effect
Frequency of using PT Car ownership -0.05 0.0 direct_effect
Monthly income Car ownership 0.2 0.001 direct_effect
Source variable Target variable Effect p-value Effect type
Monthly income Commuting distance -1.2 0.0 direct_effect
Commuting distance Frequency of using PT -0.15 0.001 direct_effect
Monthly income Independence 0.21 0.005 direct_effect
Arrogant prestige Car ownership -0.21 0.0 direct_effect
Independence Car ownership 0.33 0.0 direct_effect
Commuting distance Car ownership 0.02 0.033 direct_effect
PT is reliable Car ownership -0.09 0.019 direct_effect
Frequency of using PT Car ownership -0.05 0.0 direct_effect
Monthly income Car ownership 0.19 0.002 direct_effect
Commuting distance Frequency of using PT 0.01 0.007 direct_effect
Monthly income Commuting distance -0.03 0.065 direct_effect
Monthly income Frq PT + ComDist -0.01 0.018 direct_effect
Monthly income Independence 0.07 0.01 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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