TRAVEL MODE CHOICE INTENTION IN REDUCING TRAFFIC CONGESTION IN KAJANG, SELANGOR

Authors

  • Wan Noratikah Wahidah Wan Ghazali Department of Environment Faculty of Forestry and Environment, UNIVERSITI PUTRA MALAYSIA
  • Zakiah Ponrahono Department of Environment Faculty of Forestry and Environment, UNIVERSITI PUTRA MALAYSIA
  • Syahriah Bachok Department of Urban and Regional Planning Kulliyyah of Architecture and Environmental Design, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
  • Amir Hamzah Sharaai Department of Environment Faculty of Forestry and Environment, UNIVERSITI PUTRA MALAYSIA
  • Noor Suzilawati Rabe Department of Urban and Regional Planning Kulliyyah of Architecture and Environmental Design, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
  • Nur Shazreena Mat Shukri Department of Environment Faculty of Forestry and Environment, UNIVERSITI PUTRA MALAYSIA
  • Yakin Nur Sunoto Department of Environment Faculty of Forestry and Environment, UNIVERSITI PUTRA MALAYSIA

DOI:

https://doi.org/10.21837/pm.v19i18.1051

Keywords:

Travel intention, psychological mechanism, Theory of Planned Behaviour, public transport

Abstract

The intentions behind a person’s choice of transportation mode is vital information to have in strategic planning for a sustainable transportation system, and is very useful in predicting the behaviours of people. This paper was conducted to identify people's preferences of public transport. Using the Theory of Planned Behaviour (TPB) as the psychological determinant, three main indicators, attitude, subjective norm and perceived behavioural control (PBC), were explored to identify the mode choice of public transportation among the residents of Kajang. The data was obtained through questionnaires by employing a multistage sampling technique, where 348 respondents were approached. Partial Least Square (PLS) analysis showed that attitude was the dominant indicator among residents of Kajang for modes of public transport. This paper will contribute to the advancement of knowledge in the theory of mobility and travel behaviour, as well as act as baseline data for predicting people’s travel behaviour in future mode shift strategies dealing with everyday issues of traffic, such as congestion.

Downloads

Download data is not yet available.

References

Abdelfatah, A. S., Shah, M. Z., & Che Puan, O. (2015). Evaluating the Sustainability of Traffic Growth in Malaysia. Journal of Traffic and Logistics Engineering, 3(1), 6–11. https://doi.org/10.12720/jtle.3.1.6-11 DOI: https://doi.org/10.12720/jtle.3.1.6-11

Acheampong, R. A. (2017). Towards Sustainable Urban Transportation in Ghana: Exploring Adults’ Intention to Adopt Cycling to Work Using Theory of Planned Behaviour and Structural Equation Modelling. Transportation in Developing Economies, 3(2), 1–11. https://doi.org/10.1007/s40890-017-0047-8 DOI: https://doi.org/10.1007/s40890-017-0047-8

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020 DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Ambak, K., Kasvar, K. K., Daniel, B. D., Prasetijo, J., & Abd Ghani, A. R. (2016). Behavioral intention to use public transport based on theory of planned behavior.

MATEC Web of Conferences, 47. https://doi.org/10.1051/matecconf/20164703008 DOI: https://doi.org/10.1051/matecconf/20164703008

Chen, H. K., & Yan, D. W. (2019). Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles. International Journal of Sustainable Transportation, 13(7), 511–527. https://doi.org/10.1080/15568318.2018.1488021 DOI: https://doi.org/10.1080/15568318.2018.1488021

Chen, J., & Li, S. (2017). Mode Choice Model for Public Transport with Categorized Latent Variables. Mathematical Problems in Engineering, 2017. https://doi.org/10.1155/2017/7861945 DOI: https://doi.org/10.1155/2017/7861945

Dill, J., Mohr, C., & Ma, L. (2014). How can psychological theory help cities increase walking and bicycling? Journal of the American Planning Association, 80(1), 36–51. https://doi.org/10.1080/01944363.2014.934651 DOI: https://doi.org/10.1080/01944363.2014.934651

Eriksson, L., & Forward, S. E. (2011). Is the intention to travel in a pro-environmental manner and the intention to use the car determined by different factors?

Transportation Research Part D, 16, 372–376. https://doi.org/10.1016/j.trd.2011.02.003 DOI: https://doi.org/10.1016/j.trd.2011.02.003

Fadzil, M., & Rashid, A. (2012). The Implementation of Systematic Sampling Technique for Migration Behavioural Survey in Klang Valley. (December), 1–7

Fu, X., & Juan, Z. (2017). Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference. Transportation Research Part A: Policy and Practice, 103, 70–82. https://doi.org/10.1016/j.tra.2017.05.017 DOI: https://doi.org/10.1016/j.tra.2017.05.017

García, J., Mars, L., Arroyo, R., Casquero, D., di Ciommo, F., & Ruiz, T. (2019). Personal values, attitudes and travel intentions towards cycling and walking, and actual

behavior. Sustainability (Switzerland), 11(13), 1–20. https://doi.org/10.3390/su11133574 DOI: https://doi.org/10.3390/su11133574

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202 DOI: https://doi.org/10.2753/MTP1069-6679190202

Hussain, S., Fangwei, Z., Siddiqi, A. F., Ali, Z., & Shabbir, M. S. (2018). Structural Equation Model for evaluating factors affecting quality of social infrastructure projects. Sustainability (Switzerland), 10(5), 1–25. https://doi.org/10.3390/su10051415 DOI: https://doi.org/10.3390/su10051415

Kamaruddin, R., Osman, I., & Che Pei, C. A. (2012). Public Transport Services in Klang Valley: Customer Expectations and Its Relationship Using SEM. Procedia - Social and Behavioral Sciences, 36, 431–438. https://doi.org/10.1016/j.sbspro.2012.03.047 DOI: https://doi.org/10.1016/j.sbspro.2012.03.047

Li, L., Xiong, J., Chen, A., Zhao, S., & Dong, Z. (2015). Key Strategies for Improving Public Transportation Based on Planned Behavior Theory: Case Study in Shanghai, China. Journal of Urban Planning and Development, 141(2), 4014019. https://doi.org/10.1061/(asce)up.1943-5444.0000203 DOI: https://doi.org/10.1061/(ASCE)UP.1943-5444.0000203

Nasrudin, N., Abdullah, Y. A., & Hoon Leh, O. L. (2017). Promoting Sustainable Travel Behavior Through Transport Policy Measures. Journal of the Malaysian Institute of Planners, 15(2), 85–96. https://doi.org/http://dx.doi.org/10.21837/pmjournal.v16.i6.270 DOI: https://doi.org/10.21837/pm.v15i2.270

Ngah, R., Putit, L., Mat, A., Abdullah, J., & Ab Majid, R. (2020). Moderating Effect of Service Quality on Public Transport Travel Behaviour and Antecedents. Journal of the Malaysians Institute of Planners, 18(4), 80–91. https://doi.org/http://dx.doi.org/10.21837/pm.v18i14.819 DOI: https://doi.org/10.21837/pm.v18i14.819

Norhisham, S., Ismail, A., Sidek, L. M., Borhan, M. N., Zaini, N., & Yen, A. T. G. (2018). Assessing Bus Performance Rating in Kajang, Selangor. IOP Conference Series: Earth and Environmental Science, 140(1). https://doi.org/10.1088/1755-1315/140/1/012076 DOI: https://doi.org/10.1088/1755-1315/140/1/012076

Ramayah, T., Hwa, Cheah., J. W., Chuah, F., Ting, H., & Memon, M, A., (2018). Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS 3.0: An Updated and Practical Guide to Statistical Analysis. Pearson Malaysia Sdn Bhd

Salem, A., Almeslati, I., Rahmat, R. O. K., Jaafar, O., & Abuhamoud, M. A. (2011). The rise of the private car usage in Kajang, Malaysia: Role of parking policy on reducing car usage. Journal of Applied Sciences Research, 7(8), 1263–1268.

Shaaban, K., & Maher, A. (2019). Using the theory of planned behavior to predict the use of an upcoming public transportation service in Qatar. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2019.11.001 DOI: https://doi.org/10.1016/j.cstp.2019.11.001

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.00 DOI: https://doi.org/10.1016/j.jfbs.2014.01.002

Xin, Z., Liang, M., Zhanyou, W., & Hua, X. (2019). Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior. PLoS ONE, 14(1), 1–17. https://doi.org/10.1371/journal.pone.0210964 DOI: https://doi.org/10.1371/journal.pone.0210964

Zailani, S., Iranmanesh, M., Masron, T. A., & Chan, T. H. (2016). Is the Intention to Use Public Transport for Different Travel Purposes Determined by Different Factors? Transportation Research Part D, 49, 18–24. https://doi.org/10.1016/j.trd.2016.08.038 DOI: https://doi.org/10.1016/j.trd.2016.08.038

Downloads

Published

2021-12-14

How to Cite

Wan Ghazali, W. N. W., Ponrahono, Z., Bachok, S., Sharaai, A. H., Rabe, N. S., Mat Shukri, N. S., & Nur Sunoto, Y. (2021). TRAVEL MODE CHOICE INTENTION IN REDUCING TRAFFIC CONGESTION IN KAJANG, SELANGOR. PLANNING MALAYSIA, 19(18). https://doi.org/10.21837/pm.v19i18.1051

Issue

Vol. 19 (2021): PLANNING MALAYSIA JOURNAL : Volume 19, Issue 4, 2021

Section

Article

License

Copyright (c) 2021 Wan Noratikah Wahidah Wan Ghazali, Zakiah Ponrahono, Syahriah Bachok, Amir Hamzah Sharaai, Noor Suzilawati Rabe, Nur Shazreena Mat Shukri, Yakin Nur Sunoto

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.

Copyright & Creative Commons Licence

eISSN: 0128-0945 © Year. The Authors. Published for Malaysia Institute of Planners. This is an open-access article under the CC BY-NC-ND license.

The authors hold the copyright without restrictions and also retain publishing rights without restrictions.

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 > >>