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Analysis of travel behaviour in Petaling Jaya, Malaysia: an application of the theory of planned behaviour

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to understand travellers’ willingness to use the train in Petaling Jaya, this study adds four predictors - situational factors, trust, novelty seeking and external influence - to the existing model of theory of planned behaviour (TPB). The study collected research data from employees in Petaling Jaya, Malaysia, resulting in valuable data of 400 participants. Results indicate that attitude, perceived behavioural control, and subjective norm are found to have positive effects on the behavioural intention of taking the train. Furthermore, novelty seeking and external influence also have positive influences on attitude. While the three antecedents of trust were found to have an indirect positive effect on commuters’ intention to take the train via attitude, subjective norm and PBC. Situational factors were found to have an indirect negative significant influence on people’s intention to take the train through perceived behavioural control.
Rocznik
Strony
29--38
Opis fizyczny
Bibliogr. 36 poz., rys., tab.
Twórcy
autor
  • Universiti Kebangsaan Malaysia, Faculty of Engineering and Built Environment, Selangor, Malaysia
autor
  • Universiti Kebangsaan Malaysia, Faculty of Engineering and Built Environment, Selangor, Malaysia
  • Universiti Kebangsaan Malaysia, Faculty of Engineering and Built Environment, Selangor, Malaysia
autor
  • Universiti Kebangsaan Malaysia, Faculty of Engineering and Built Environment, Selangor, Malaysia
  • Universiti Kebangsaan Malaysia, Faculty of Engineering and Built Environment, Selangor, Malaysia
Bibliografia
  • [1] AJZEN, I., & DRIVER, B., 1992. Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3), pp. 207–224.
  • [2] AJZEN, I., & FISHBEIN, M., 1980. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
  • [3] AJZEN, I., 1985. From intentions to actions: A theory of planned behavior. In J. KUHL & J. BECKMANN (Eds.), Action-control: From cognition to behaviour (pp. 11–39). New York: Springer.
  • [4] AJZEN, I., 1991. The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50(2), pp. 179–211.
  • [5] ANDERSON, J.C. & GERBING D.W. 1988: Structural Equation Modeling in Practice: A Review and Recommended Two - Step Approach. Psychological Bulletin, 103(3), pp. 411-423.
  • [6] BAUMGARTNER, H., & HOMBURG, C., 1996. Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), pp. 139–161.
  • [7] BERRY, L., 1995. Relationship marketing of services - growing interest, emerging perspectives. Journal of the Academy of Marketing Science, 23(4), pp. 236–245.
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  • [10] CHAN, L. & BISHOP, B., 2013. A moral basis for recycling: Extending the theory of planned behaviour. Journal of Environmental Psychology, 36, pp. 96-102.
  • [11] CONNER, M., & ABRAHAM, C., 2001. Conscientiousness and the theory of planned behavior: Toward a more complete model of the antecedents of intentions and behavior. Personality and Social Psychology Bulletin, 27(11), pp. 1547–1561.
  • [12] DONALD, I.J., COOPER, S.R., . CONCHIE, S.M., 2014. An extended theory of planned behavior model of the psychological factors affecting commuters’ transport mode use. Journal of Environmental Psychology, 40, pp. 39-48.
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  • [15] FISHBEIN, M. & AJZEN, I., 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
  • [16] FORNELL, C. & LARCKER, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), pp. 39-50.
  • [17] GEFEN, D., KARAHANNA, E., & STRAUB, D., 2003. Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), pp. 51-90.
  • [18] GEORGGI, N., & PENDYALA, R., 1999. Analysis of long-distance travel behavior of the elderly and low income. Transportation Research Circular (pp. 121–150). Washington DC: Transportation Research Board.
  • [19] HAIR, J.F. JR. , ANDERSON, R.E., TATHAM, R.L., & BLACK, W.C., 1998. Multivariate Data Analysis, (5th Edition). Upper Saddle River, NJ: Prentice Hall.
  • [20] HAUSTEIN, S., & HUNECKE, M., 2007. Reduced Use of Environmentally Friendly Modes of Transport Caused By Perceived Mobility Necessities - An Extension of the Theory of Planned Behaviour. Journal of Applied Social Psychology, 37, pp. 1856-1883.
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  • [22] JACKSON, J.L., DEZEE,K., DOUGLAS,K. & SHIMEALL, W., 2005. Introduction to Structural Equation Modelling (Path Analysis). Society of General Internal Medicine (SGIM), Precourse, PA08.
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  • [26] LEE, K.I. & GOULD, R., 2011. Predicting congregate meal program participation: applying the extended theory of planned behaviour. International Journal of Hospitality Management, 31(3), pp. 828-836.
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  • [28] MCKNIGHT, D., CUMMINGS, L., & CHERVANY, N., 1998. Initial trust formation in new organizational relationships. The Academy of Management Review, 23(3), pp. 473–490.
  • [29] MEHRABIAN, A., & RUSSELL, J., 1974. An Approach to environmental Psychology. MA: MIT press Cambridge.
  • [30] NAZRI, M., 2013. The Effectiveness of Public Transport System in Putrajaya: A Modelling Approach, Universiti Kebangsaan Malaysia.
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  • [32] REINECKE, J., SCHMIDT, P., & AJZEN, I., 1996. Application of the theory of planned behavior to adolescents’ condom use: A panel study. Journal of Applied Social Psychology, 26(9), pp. 749–772.
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  • [36] TONGLET, M., PHILLIPS, P. S & READ, A. D., 2004. Using the Theory of Planned Behaviour to investigate the determinants of recycling behaviour: A case study from Brixworth, UK Resources. Conservation and Recycling, 41, pp. 191-214.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ae96e224-f8a2-4d97-bb17-77f9a4a69244
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