Akcije

Journal of Applied Engineering Science
kako citirati ovaj članak
podeli ovaj članak

Metrika

  • citati u SCIndeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[]
  • posete u poslednjih 30 dana:16
  • preuzimanja u poslednjih 30 dana:12

Sadržaj

članak: 8 od 86  
Back povratak na rezultate
2020, vol. 18, br. 3, str. 403-412
Predicting the commuter's willingness to use lrt, utilising the theory of planned behaviour and structural equation
(naslov ne postoji na srpskom)
Mustansiriyah University, Department of Construction and Project Management, Baghdad, Iraq

e-adresahussainalnajjar@uomustansiriyah.edu.iq
Projekat:
The author would like to thank Mustansiriyah University, Baghdad - Iraq for its support in the present work.

Ključne reči: public transport; Urban Rail Development; TPB; SEM; Klang Valley
Sažetak
(ne postoji na srpskom)
Many researchers highlighted that the rail-based public transport system is not the people's favourite means of transportation in the Urban Rail Development Plan (2013) plus the Kuala Lumpur Structure Plan (2020). The policy-makers focused on this issue while planning the urban transportation system in Klang Valley, Malaysia. This region has undergone rapid growth in the past few years with regards to their geographical significance and population size. However, this increased traffic congestion in the city. In this study, the researcher has aimed to investigate and increase the accessibility of the commuters to and from their homes by the train systems in the Klang Valley. For understanding the willingness of the people to use the train system in Klang Valley, the researcher studied 4 predictors, i.e., trust, situational factors, novelty-seeking and external influence, with respect to the Theory of Planned Behaviour (TPB) model. The researcher obtained the data from the people working in Klang Valley, Malaysia. The sample size used was 400 participants. The results indicated that the Perceived Behavioural Control (Pbc), attitude and subjective norm displayed positive effects on their behavioural intention to use the train system. Additionally, external influence and novelty-seeking positively affected the attitude. The 3 antecedents of trust, i.e., subjective norm, attitude and Pbc, indirectly and positively affected the intention of the commuters to use the train system. The situational factors showed an indirect, but bad influence on the intention of commuters to use trains, via the Pbc.
Reference
Abdul, R.C., Bin, D.M.K., Illyas, M. (2015) Online shopping trends and its effects on consumer buying behavior: A case study of young generation of Pakistan. NG-Journal of Social Development, 5(1): 1-22
Ajzen, I., Fishbein, M. (1980) Understanding attitudes and predicting social behaviour. http://www.citeulike.org/group/38/article/235626
Ajzen, I. (1985) From intentions to actions: A theory of planned behavior. u: Action control, Heidelberg: Springer, str. 11-39, https://link.springer.com/chapter/10.1007/978-3-642-69746-3_2
Ajzen, I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2): 179-211
Ajzen, I., Driver, B.L. (1992) Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3): 207-224
Akroush, M.N., Al-Debei, M.M. (2015) An integrated model of factors affecting consumer attitudes towards online shopping. Business Process Management Journal, 21(6): 1353-1376
Anderson, J.C., Gerbing, D.W. (1988) Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3): 411-423, http://psycnet.apa.org/psycinfo/1989-14190-001
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): 139-161
Berry, L.L. (1995) Relationship marketing of services: Growing interest, emerging perspectives. Journal of the Academy of Marketing Science: Official Publication of the Academy of Marketing Science, 23(4): 236-245
Bhattacherjee, A. (2000) Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 30(4), 411-420
Borhan, M.N. (2013) The effectiveness of public transport system in Putrajaya: A modelling approach. Universiti Kebangsaan Malaysia
Borhan, M.N., Ibrahim, A.N.H., Syamsunur, D., Rahmat, R.A. (2019) Why public bus is a less attractive mode of transport: A case study of Putrajaya, Malaysia. Periodica Polytechnica Transportation Engineering, 47(1): 82-90
Boudreau, M.C., Gefen, D., Straub, D.W. (2001) Validation in information systems research: A state-of-the-art assessment. MIS Quarterly: Management Information Systems, 25(1), 1-16
Chan, L., Bishop, B. (2013) A moral basis for recycling: Extending the theory of planned behaviour. Journal of Environmental Psychology, 36: 96-102
Chen, S., Sutan, R., Hisham, J. (2017) Trip characteristics as the determinants of intention to shift to rail transport among private motor vehicle users in Kuala Lumpur, Malaysia. Sustainable Cities and Society, 36(October), 319-326
Chen, S., Lu, C. (2016) A model of green acceptance and intentions to use bike-sharing: YouBike users in Taiwan. Networks and Spatial Economics, 16(4): 1103-1124
Chuen, C.O., Karim, M.R., Yusoff, S. (2014) Mode choice between private and public transport in Klang Valley, Malaysia. Scientific World Journal, 2014, 7-9
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): 1547-1561
Department of Statistics (DOS) (2012)
Department of Statistics (DOS) (2008)
Donald, I.J., Cooper, S.R., Conchie, S.M. (2014) An extended theory of planned behaviour model of the psychological factors affecting commuters' transport mode use. Journal of Environmental Psychology, 40: 39-48
Fishbein, M., Ajzen, I. (1975) Belief, attitude, intention, and behavior: An introduction to theory and research. u: Series in social psychology, Reading, MA: Addison-Wesley Pub. Co, http://people.umass.edu/aizen/f&a1975.html
Fornell, C., Larcker, D.F. (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1): 39-39
Gefen, D., Karahanna, E., Straub, D. (2003) Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1): 51-90, http://www.jstor.org/stable/30036519.%0D
Hair, J.F. J., Tatham, R.L., Anderson, R.E., Black, W.C. (1998) Multivariate data analysis. Prentice Hall
Haustein, S., Hunecke, M. (2007) Reduced use of environmentally friendly modes of transportation caused by perceived mobility necessities: An extension of the theory of planned behavior. Journal of Applied Social Psychology, 37(8): 1856-1883
Hsiao, C., Yang, C. (2010) Predicting the travel intention to take High Speed Rail among college students. Transportation Research Part F: Traffic Psychology and Behaviour, 13(4): 277-287
Iftekhar, S., Tapsuwan, S. (2010) Review of transportation choice research in Australia: Implications for sustainable urban transport design. Natural Resources Forum, 34(4): 255-265
Jackson, J.L., Dezee, K., Douglas, K., Shimeall, W. (2005) Introduction to structural equation modelling (Path analysis). Society of General Internal Medicine (SGIM)
Jacyna, M., Wasiak, M., Kłodawski, M., Lewczuk, K. (2014) Simulation model of transport system of Poland as a tool for developing sustainable transport. Archives of Transport, 31(3): 23-35
Jing, P., Huang, H., Ran, B., Zhan, F., Shi, Y. (2019) Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior: A case study in China. Sustainability, 11(4), 1-20, Switzerland
Koting, S.B. (2017) Evaluation and improvement of accessibility to urban rail transit system in Faculty of Engineering. http://studentsrepo.um.edu.my/7795/6/PhD_Thesis_Final_15082017_Suhana_Koting.pdf
Lee, Kuei-I., Gould, R. (2012) Predicting congregate meal program participation: Applying the extended theory of planned behavior. International Journal of Hospitality Management, 31(3): 828-836
Lee, T.H., Crompton, J. (1992) Measuring novelty seeking in tourism. Annals of Tourism Research, 19(4), 732-751
Li, S., Zhao, P., Zhang, H., Quan, J. (2019) Walking behavior in the old downtown Beijing: The impact of perceptions and attitudes and social variations. Transport Policy, 73: 1-11
Mahmud, S.N.D., Osman, K. (2010) The determinants of recycling intention behavior among the Malaysian school students: An application of Theory of Planned Behaviour. Procedia - Social and Behavioral Sciences, 9: 119-124
Meek, S., Ison, S., Enoch, M. (2011) Evaluating alternative concepts of bus-based park and ride. Transport Policy, 18(2): 456-467
Nosal, K., Starowicz, W. (2015) Evaluation of influence of mobility management instruments implemented in separated areas of the city on the changes in modal split. Archives of Transport, 35(3): 41-52
Shawn, J.S.C., Feng, R. (2007) Temporal destination revisit intention: The effects of novelty seeking and satisfaction. Tourism Management, 28(2), 580-590
Sheppard, B.H., Hartwick, J., Warshaw, P.R. (1988) The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3): 325-325
Skorobogatova, O., Kuzmina-Merlino, I. (2017) Transport infrastructure development performance. Procedia Engineering, 178: 319-329
Taylor, S., Todd, P.A. (1995) Understanding information technology usage. Information Systems Research, Vol. 6, Issue 2, pp. 144-176
Yang, J., Ma, J. (2019) Compressive sensing-enhanced feature selection and its application in travel mode choice prediction. Applied Soft Computing Journal, 75: 537-547
 

O članku

jezik rada: engleski
vrsta rada: izvorni naučni članak
DOI: 10.5937/jaes18-27013
objavljen u SCIndeksu: 26.09.2020.
metod recenzije: dvostruko anoniman
Creative Commons License 4.0

Povezani članci

Nema povezanih članaka