The Determinants of Car Ownership Among Working Adults In Penang, Malaysia
DOI:
https://doi.org/10.32890/mmj2015.19.3Kata kunci:
Car, congestion, ownership, traffic, transportationAbstrak
Muat turun
Rujukan
own cars than non-tertiary–educated individuals.
This supports the findings of Raphael and Rice (2002) that well-educated individuals are more likely to own cars than less-educated individuals. The explanation is that well-educated individuals tend to hold higher position in companies, thus, they are more likely to own cars, as cars are often viewed as status symbols (Golob and Hensher, 1998). As an intervention strategy to reduce car ownership, a successful policy should be targeted primarily at well-educated individuals. For instance, the government could use financial professionals to widely publicise the fact that owning a car will only increase one’s financial burden rather than one’s status.
Beckman, J. D. & Goulias, G. K. (2008).Immigration, residential location, car ownership and commuting behavior: A multivariate latent class analysis from California. Transportation, 35(5), 655671.
Bjorner, T. B., & Leth-Peterson, S. (2004). Dynamic models of car ownership at the household level. Amternes Og Kommunernes Forskningsinstitut. Working paper.
Cheah, Y. K. (2012). An exploratory study on self-rated health status: The case of Penang, Malaysia. Malaysian Journal of Economic Studies, 49(2), 141-155.
China Daily (2012).80% of 40 richest Malaysians are ethnic Chinese. China Daily, [online] 3 February. Available at: http://www. chinadaily.com.cn/business/2012-02/03/ content_15781890.htm [Accessed on 28 September 2013].
Clark, S. D. (2007). Estimating local car ownership models. Journal of Transport Geography, 15(3), 184–197.
Dargay, J. M. (2001). The effect of income on car ownership: Evidence of asymmetry. Transportation Research Part A: Policy and Practice, 35(9), 807-821.
Dargay, J. M., & Vythoulkas, P. C. (1999).Estimation of a dynamic car ownership model: A pseudo-panel approach. Journal of Transport Economics and Policy, 33(3), 287-302.
Frank, R. H. (2008).Microeconomics and behavior (7th ed).,New York: McGrawHill.
Gautier, P. A, & Zenou, Y. (2009). Car ownership and the labor market of ethnic minorities. Journal of Urban Economics, 67(3), 392–403.
Golob, T. F., & Hensher, D. A. (1998). Greenhouse gas emissions and Australian commuters’ attitudes and behaviour concerning abatement policies and personal involvement. Transportation Research Part D: Transport and Environment, 3(1), 1-18. Surprisingly, the present study finds that individuals who face problems of insufficient car parking space problems in their housing or working areas are more likely to own cars than individuals who do not face such problems.
Thus is in contrast to the finding of Woldeamanuel et al. (2009). The contributing factor for this outcome needs to be further investigated by future qualitative studies focusing on the relationship between car park issues and the availability of public transport. Conclusion In light of the serious traffic congestion problem in Penang (Malaysia), the present study set out to investigate the factors affecting car ownership among working adults. Using a logit model, the present study found that age, gender, ethnicity, income, education and parking issue are significant in affecting car ownership. However, owing to time, budget and geographical constraints, the present study has an inherent limitation in that the surveyed area was limited to individuals working in Bayan Lepas and the sample was not collected based on a probability sampling approach. Ideally, the respondents travelling to and from work from all over the Penang Island, as well as the mainland should be taken into consideration and canvassed using random sampling in order to obtain a more representative sample. http://mmj.uum.edu.my/
Greene, W. H. (2007). Econometric analysis, (6th ed). New York: Prentice Hall.
Hensher, D. A., & Young, J. L. (1991). Demand forecasts and demand elasticities for Australian transport fuel. Bureau of Transport and Communications Economics. Occasional paper No. 103.
Johnson, V., Currier, G., & Stanley, J. (2010).Measures of disadvantage: Is car ownership a good indicator? Social Indicators Research, 97(3), 439-450.
Kitamura, R. (2009) A dynamic model system of household car ownership trip generation, and modal split: Model development and simulation. Transportation, 36(6), 711732.
Matas, A., & Raymond, J. L. (2008). Changes in the structure of car ownership in Spain. Transportation Research Part A: Policy and Practice, 42(1), 187–202.
Nolan, A. (2010). A dynamic analysis of household car ownership. Transportation Research Part A: Policy and Practice, 44(6), 446–455.
Pal, V. (2008).The trauma of sexual harassment on commuter trains. The Star, [online] 16 January. Available at: http://www. thestar.com.my/Story.aspx?file=%2F 2008%2F1%2F16%2Fcentral%2F19 999361&sec=central [Accessed on 28 September 2013].
Palma, A., & Rochat, D. (2000). Mode choices for trips to work in Geneva: An empirical analysis. Journal of Transport Geography, 8(1), 43-51.
Raphael, S., & Rice, L. (2002). Car ownership, employment and earnings. Journal of Urban Economics, 52(1), 109–130.
Roorda, M. J., Mohammadian, A., & Miller, E. J. (2000).Toronto area car ownership study: A retrospective interview and its applications. Transportation Research Record, 1719, 69-76.
Rouwendal, J., & Pommer, J. (2004).An indirect utility model of multiple car ownership and use. Tinbergen Institute Discussion Paper. Working paper No. TI 2004085/3.
Studenmund, A. H. (2006). Using econometrics: A practical guide (5th ed). New York: Pearson.
The Star. (2011). Number of vehicles registered on the rise. The Star, [online] 26 February. Available at: http://www.thestar.com. my/Story.aspx?file=%2F2011%2F2%2F 26%2Fnation%2F8146407&sec=nation [Accessed on 28 September 2013].
Thobani, M. (1984). A nested logit model of travel mode to work and auto ownership. Journal of Urban Economics, 15(3), 287301. Woldeamanuel, M. G., Cyganski, R., Schulz,
A., & Justen, A. (2009). Variation of households’ car ownership across time: Application of a panel data model. Transportation, 36(4), 371-387. http://mmj.uum.edu.my/
Muat turun
Diterbitkan
Terbitan
Bahagian
Cara Memetik
##plugins.generic.citations.panel.title##
##plugins.generic.citations.panel.harvested## 2026-09-07##plugins.generic.citations.panel.body##
- OpenCitations 0 ##plugins.generic.citations.panel.view##
- Crossref 0 ##plugins.generic.citations.panel.view##
- Google Scholar ##plugins.generic.citations.panel.noApi## ##plugins.generic.citations.panel.search##
- Dimensions ##plugins.generic.citations.panel.noApi## ##plugins.generic.citations.panel.search##







