Have a Personal Vehicle: Really Need or Simply Want?

  • Abdul Hafid Hasim Universitas Negeri Makassar
  • Lambang Basri Said Universitas Muslim Indonesia
  • Maryam Hafram Universitas Muslim Indonesia
Keywords: Attitudes Toward, Intention Behavior, Subjective Norms, Perceived Behavioral Control, Structural Equation Model (SEM), Theory of Planned Behavior


The more and more efficiently the community in owning and determining vehicle choices has resulted in increasingly increasing the trend of private vehicle use as the primary transportation mode replacing public transportation. Planned Behavior Theory is expected to accurately predict people's intentions and behavior in using private vehicles. The variables used are the independent variable Attitude Toward, Subjective Norm and Perceived Behavioral Control, then Intention Behavior as the intervening and Behavior dependent variable. The research population is the community of private motorists using cars and motorbikes in the city of Makassar. The number of samples used was 210 respondents. The sampling used is Purposive Random Sampling. Primary data and information through an open questionnaire. Analysis of research data with the Structural Equation Model with IBM AMOS Software. The results obtained show that attitude toward intention to behavior means that attitude variables compared to Subjective Norm and Perceived Behavioral Control variables predominantly affect Intention and Behavior. The Attitude Toward of vehicle users who are influenced by Behavior belief will ensure that the vehicles they use can make social values increase, will be more valued and respected. Vehicles are not only a means of transportation but also a symbol of a person's establishment.


[1] A. O’sullivan, Urban economics. McGraw-Hill/Irwin, 2007.
[2] D. Banister, “The sustainable mobility paradigm,” Transp. policy, vol. 15, no. 2, pp. 73–80, 2008.
[3] D. Banister, S. Watson, and C. Wood, “Sustainable cities: transport, energy, and urban form,” Environ. Plan. B Plan. Des., vol. 24, no. 1, pp. 125–143, 1997.
[4] R. Petersen, Land Use Planning and Urban Transport: sustainable transport-a sourcebook for policy-makers in developing cities. Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ), 2002.
[5] K. Gwilliam, “Urban transport in developing countries,” Transp. Rev., vol. 23, no. 2, pp. 197–216, 2003.
[6] H. S. Perloff and L. Wingo Jr, Issues in urban economics. RFF Press, 2013.
[7] A. M. Rao and K. R. Rao, “Measuring urban traffic congestion-a review.,” Int. J. Traffic Transp. Eng., vol. 2, no. 4, 2012.
[8] J. Dargay, D. Gately, and M. Sommer, “Vehicle ownership and income growth, worldwide: 1960-2030,” Energy J., pp. 143–170, 2007.
[9] B. Andrea, L. Todd, and M. Gopinath, “Transport Demand Management: Training Document,” GTZ Ger., 2009.
[10] A. Broaddus, “Sustainable transportation: lessons from London,” Focus (Madison)., vol. 11, no. 1, p. 10, 2014.
[11] BPS-Statistics of Makassar, Makassar in Figures. Makassar: BPS-Statistics of Makassar, 2017.
[12] G. Tertoolen, D. Van Kreveld, and B. Verstraten, “Psychological resistance against attempts to reduce private car use,” Transp. Res. Part A Policy Pract., vol. 32, no. 3, pp. 171–181, 1998.
[13] G. Beirão and J. A. S. Cabral, “Understanding attitudes towards public transport and private car: A qualitative study,” Transp. policy, vol. 14, no. 6, pp. 478–489, 2007.
[14] J. de Dios Ortuzar and L. G. Willumsen, Modelling transport. John Wiley & Sons, 2011.
[15] P. Hersey and K. H. Blanchard, “Management of organizational behavior: Utilizing human resources.” Academy of Management Briarcliff Manor, NY 10510, 1969.
[16] R. Hiscock, S. Macintyre, A. Kearns, and A. Ellaway, “Means of transport and ontological security: Do cars provide psycho-social benefits to their users?,” Transp. Res. Part D Transp. Environ., vol. 7, no. 2, pp. 119–135, 2002.
[17] C. A. Klöckner and E. Matthies, “How habits interfere with norm-directed behaviour: A normative decision-making model for travel mode choice,” J. Environ. Psychol., vol. 24, no. 3, pp. 319–327, 2004.
[18] D. McFadden, “The measurement of urban travel demand,” J. Public Econ., vol. 3, no. 4, pp. 303–328, 1974.
[19] M. E. P. Seligman and M. Csikszentmihalyi, Positive psychology: An introduction., vol. 55, no. 1. American Psychological Association, 2000.
[20] M. Fishbein and I. Ajzen, Predicting and changing behavior: The reasoned action approach. Psychology Press, 2011.
[21] M. Fishbein and I. Ajzen, Belief, attitude, intention and behavior: An introduction to theory and research. 1975.
[22] I. Ajzen, “The Theory of Planned Behavior,” Organ. Behav. Hum. Decis. Process., vol. 50, no. 2, pp. 179–211, 1991.
[23] I. Ajzen, “Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior,” J. Appl. Soc. Psychol., vol. 32, no. 4, pp. 665–683, 2002.
[24] T. J. Madden, P. S. Ellen, and I. Ajzen, “A comparison of the theory of planned behavior and the theory of reasoned action,” Personal. Soc. Psychol. Bull., vol. 18, no. 1, pp. 3–9, 1992.
[25] M. Fishbein and I. Ajzen, “The influence of attitudes on behavior,” Handb. attitudes, pp. 173–222, 2005.
[26] I. Ajzen, Attitudes, Personality, and Behavior, 2nd ed. Berkshire, England: Open University Press, 2005.
[27] Malim, Tony. and Birch, Ann., Research Methods and Statistics. London: Macmillan Press Ltd, 2006.
[28] J. W. Creswell, Research Design : Qualitative, Quantitative, and Mixed Method Approaches, 4th ed. Thousand Oaks, California: SAGE Publications, Inc., 2014.
[29] T. Z. Keith, Multiple Regression and Beyond : An Introduction to Multiple Regression and Structural Equation Modeling, 2nd ed. New York: Routledge, Taylor & Francis Group, 2015.
[30] B. M. Byrne, Structural Equation Modeling with AMOS : Basic Concepts, Applications, and Programming, 2nd ed. New York: Routledge, Taylor & Francis Group, 2010.
[31] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. Harlow, England: Pearson New International Edition, 2014.
[32] M. Q. Patton, Qualitative research and evaluation methods, 3rd ed. Thousand Oaks, CA: SAGE Publications, 2002.
[33] G. D. Garson, Partial Least Squares: Regression & structural equation modeling. Asheboro, USA: Statistical Publishing Associates, 2016.
[34] M. S. Khine, L. C. Ping, and D. Cunningham, Application of Structural Equation Modeling in Educational Research and Practice : Contemporary Approaches to Research, 7th ed. Rotterdam, Netherlands: Sense Publishers, 2013.
[35] D. Kaplan, Structural Equation Modeling : Foundations and Extensions (Advanced quantitative techniques in the social sciences), 10th ed. Thousand Oaks, California: SAGE Publications, Inc., 2000.
[36] R. Gerson, Measuring customer satisfaction. Crisp Learning, 1993.
[37] K. G. Jöreskog and D. Sörbom, LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.
[38] J. J. Hox and T. M. Bechger, “An introduction to structural equation modeling,” 2007.
[39] B. Wheaton, B. Muthen, D. F. Alwin, and G. F. Summers, “Assessing reliability and stability in panel models,” Sociol. Methodol., vol. 8, pp. 84–136, 1977.
[40] E. G. Carmines, “Analyzing models with unobserved variables,” Soc. Meas. Curr. issues, vol. 80, 1981.
[41] R. E. Schumacher and R. G. Lomax, A Beginner’s Guide to Structural Equation Modeling: Third Edition, 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates, 2010.
[42] J. S. Tanaka and G. J. Huba, “A general coefficient of determination for covariance structure models under arbitrary GLS estimation,” Br. J. Math. Stat. Psychol., vol. 42, no. 2, pp. 233–239, 1989.
[43] J. H. Steiger and J. C. Lind, “Statistically based tests for the number of common factors,” in Paper presented at the annual meeting of the Psychometric Society, May 1980, 1980.
[44] M. W. Browne and R. Cudeck, “Alternative ways of assessing model fit,” Sage Focus Ed., vol. 154, p. 136, 1993.
[45] L. J. Williams and E. O’Boyle Jr, “The myth of global fit indices and alternatives for assessing latent variable relations,” Organ. Res. Methods, vol. 14, no. 2, pp. 350–369, 2011.
[46] F. Chen, P. J. Curran, K. A. Bollen, J. Kirby, and P. Paxton, “An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models,” Sociol. Methods Res., vol. 36, no. 4, pp. 462–494, 2008.
[47] L. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Struct. Equ. Model. a Multidiscip. J., vol. 6, no. 1, pp. 1–55, 1999.
[48] L. R. Tucker and C. Lewis, “A reliability coefficient for maximum likelihood factor analysis,” Psychometrika, vol. 38, no. 1, pp. 1–10, 1973.
[49] P. M. Bentler and L. T. Hu, “Evaluating model fit,” in Structural equation modeling: Concepts, issues, and applications, Thousand Oaks, CA: SAGE Publications, 1995, pp. 76–99.
[50] P. M. Bentler, “SEM with simplicity and accuracy,” J. Consum. Psychol., vol. 20, no. 2, pp. 215–220, 2010.
[51] T. A. Brown, Confirmatory factor analysis for applied research. New York: Guilford Publications, 2014.
[52] K. A. Bollen, “A new incremental fit index for general structural equation models,” Sociol. Methods Res., vol. 17, no. 3, pp. 303–316, 1989.
[53] L. James, S. Mulaik, and J. M. Brett, Causal analysis: Assumptions, models, and data. Beverly Hills: Sage publications, 1982.
[54] C. C. DiClemente and J. O. Prochaska, “Self-change and therapy change of smoking behavior: A comparison of processes of change in cessation and maintenance,” Addict. Behav., vol. 7, no. 2, pp. 133–142, 1982.
[55] R. H. Hoyle, Structural Equation Modeling : Concepts, Issues, and Applications. Thousand Oaks, California: SAGE Publications, Inc., 1995.
[56] P. L. Mokhtarian and I. Salomon, “How derived is the demand for travel? Some conceptual and measurement considerations,” Transp. Res. part A Policy Pract., vol. 35, no. 8, pp. 695–719, 2001.
[57] P. Sheeran, “Intention—behavior relations: a conceptual and empirical review,” Eur. Rev. Soc. Psychol., vol. 12, no. 1, pp. 1–36, 2002.
[58] J. P. Peter, J. C. Olson, and K. G. Grunert, Consumer behavior and marketing strategy, 7th ed. New York, United States: New York, NY: McGraw-Hill/Irwin, 2005.
[59] I. Ajzen, “From intentions to actions: A theory of planned behavior,” in Action control, Springer, 1985, pp. 11–39.
[60] M. Giles and E. Cairns, “Blood donation and Ajzen’s theory of planned behaviour: an examination of perceived behavioural control,” Br. J. Soc. Psychol., vol. 34, no. 2, pp. 173–188, 1995.
[61] R. P. Bagozzi and S. K. Kimmel, “A comparison of leading theories for the prediction of goal‐directed behaviours,” Br. J. Soc. Psychol., vol. 34, no. 4, pp. 437–461, 1995.
[62] M. W. Allen, S. Hung Ng, and M. Wilson, “A functional approach to instrumental and terminal values and the value-attitude-behaviour system of consumer choice,” Eur. J. Mark., vol. 36, no. 1/2, pp. 111–135, 2002.
[63] P. Quester, C. Neal, S. Pettigrew, M. R. Grimmer, T. Davis, and D. Hawkins, Consumer behaviour: Implications for marketing strategy. McGraw-Hill, 2007.
[64] R. S. Feldman, R. S. Feldman, and B. Rimé, Fundamentals of nonverbal behavior. Cambridge University Press, 1991.
[65] H. C. Triandis, “The self and social behavior in differing cultural contexts.,” Psychol. Rev., vol. 96, no. 3, p. 506, 1989.
[66] J. D. Fisher and W. A. Fisher, “Changing AIDS-risk behavior.,” Psychol. Bull., vol. 111, no. 3, p. 455, 1992.
[67] P. M. Gollwitzer, “Implementation intentions: strong effects of simple plans.,” Am. Psychol., vol. 54, no. 7, p. 493, 1999.
[68] S. Santoso, B. S. Dharmmesta, and B. M. Purwanto, “Model of Consumer Attitude in the Activity of Cause-Related Marketing,” Mediterr. J. Soc. Sci., vol. 6, no. 4, p. 499, 2015.
[69] B. S. Dharmmesta, “An Analysis of Consumer Attitudes Toward the Government Policies Designed to Increase Domestic Brand Consumption in Indonesia.” Thesis Ph, D dalam bidang Marketing, University of Stratfclyde, Glasgow, UK, 1992.
[70] G. R. Jones and J. M. George, “The experience and evolution of trust: Implications for cooperation and teamwork,” Acad. Manag. Rev., vol. 23, no. 3, pp. 531–546, 1998.
[71] H. Dittmar, The social psychology of material possessions: To have is to be. Harvester Wheatsheaf and St. Martin’s Press, 1992.
[72] L. Steg, “Car use: lust and must. Instrumental, symbolic and affective motives for car use,” Transp. Res. Part A Policy Pract., vol. 39, no. 2–3, pp. 147–162, 2005.
[73] L. Eriksson, J. Garvill, and A. M. Nordlund, “Interrupting habitual car use: The importance of car habit strength and moral motivation for personal car use reduction,” Transp. Res. Part F Traffic Psychol. Behav., vol. 11, no. 1, pp. 10–23, 2008.
[74] C. A. Klöckner, E. Matthies, and M. Hunecke, “Problems of Operationalizing Habits and Integrating Habits in Normative Decision‐Making Models,” J. Appl. Soc. Psychol., vol. 33, no. 2, pp. 396–417, 2003.
[75] D. Trafimow and A. Duran, “Some tests of the distinction between attitude and perceived behavioural control,” Br. J. Soc. Psychol., vol. 37, no. 1, pp. 1–14, 1998.
[76] D. J. Terry and J. E. O’Leary, “The theory of planned behaviour: The effects of perceived behavioural control and self‐efficacy,” Br. J. Soc. Psychol., vol. 34, no. 2, pp. 199–220, 1995.
[77] M. Conner and B. McMillan, “Interaction effects in the theory of planned behaviour: Studying cannabis use,” Br. J. Soc. Psychol., vol. 38, no. 2, pp. 195–222, 1999.
[78] J. C. Mowen and M. Minor, “Customer Behavior.” Prentice Hall Inc, New Jersey, United State, 1995.
[79] R. A. Baron, B. Byrne, and N. R. Branscombe, Social Psychology, 10th ed. New York, United States: Allyn and Bacon, Inc, 2003.
[80] C. A. Henle, C. L. Reeve, and V. E. Pitts, “Stealing time at work: Attitudes, social pressure, and perceived control as predictors of time theft,” J. Bus. Ethics, vol. 94, no. 1, pp. 53–67, 2010.
[81] A. Jakovcevic and L. Steg, “Sustainable transportation in Argentina : Values , beliefs , norms and car use reduction,” Transp. Res. Part F Psychol. Behav., vol. 20, pp. 70–79, 2013.
[82] C. J. Armitage and M. Conner, “The theory of planned behaviour: Assessment of predictive validity and’perceived control,” Br. J. Soc. Psychol., vol. 38, no. 1, pp. 35–54, 1999.
[83] I. Ajzen, “Residual effects of past on later behavior: Habituation and reasoned action perspectives,” Personal. Soc. Psychol. Rev., vol. 6, no. 2, pp. 107–122, 2002.
[84] K. I. Dunn, P. Mohr, C. J. Wilson, and G. A. Wittert, “Determinants of fast-food consumption. An application of the theory of planned behaviour,” Appetite, vol. 57, no. 2, pp. 349–357, 2011.
[85] Hafram, Maryam. and Hasim, Abdul Hafid., “Factors Affecting Subjective Norms in use and have a Private Vehicle in Makassar, Indonesia,” J. Eng. Appl. Sci., vol. 13, no. 7, pp. 1590–1595, 2018.
[86] S. Bamberg, M. Hunecke, and A. Blöbaum, “Social context, personal norms and the use of public transportation: Two field studies,” J. Environ. Psychol., vol. 27, no. 3, pp. 190–203, 2007.
[87] B. Verplanken, H. Aarts, A. D. Van Knippenberg, and A. Moonen, “Habit versus planned behaviour: A field experiment,” Br. J. Soc. Psychol., vol. 37, no. 1, pp. 111–128, 1998.
[88] T. Schwanen, D. Banister, and J. Anable, “Rethinking habits and their role in behaviour change: the case of low-carbon mobility,” J. Transp. Geogr., vol. 24, pp. 522–532, 2012.
[89] M. Csikszentmihalyi, Flow and the psychology of discovery and invention, vol. 56. New York: Harper Collins, 1996.
How to Cite
A. H. Hasim, L. B. Said, and M. Hafram, “Have a Personal Vehicle: Really Need or Simply Want?”, Int. J. Environ. Eng. Educ., vol. 1, no. 1, pp. 7-16, Apr. 2019.
Research Article