THE EFFECTS OF PASSENGER BEHAVIOUR ON PUBLIC BUS TRANSPORT SELECTION DECISION-MAKING

Authors

  • Ery Sugito School of Housing, Building, and Planning, UNIVERSITI SAINS MALAYSIA (USM)
  • Diana Mohamad School of Housing, Building, and Planning, UNIVERSITI SAINS MALAYSIA (USM)
  • Ruhizal Roosli School of Housing, Building, and Planning, UNIVERSITI SAINS MALAYSIA (USM)

DOI:

https://doi.org/10.21837/pm.v22i30.1440

Keywords:

Public Bus Transportation, Passenger Behaviour, Decision-Making, Urban Transportation Planning

Abstract

While the quality of a public transportation system is determined by its sustainability, as well as the regulations governing its operations, the decision-making process of an individual, in terms of his/her selection of a transportation option, is highly influenced by issues related to behaviour. This research delves into the manner in which cultural (CLT), social (SCL), psychological ((PLG) and personality (PLS) issues, affect passenger preference for a transportation mode. The findings, derived through the employment of the SMART partial least squares structural equation modelling (SmartPLS-SEM) approach, clearly indicate that PLS factors, including age and lifecycle stage (PLS1), economic situation (PLS2) and lifestyle (PLS3), significantly influence an individual’s public transportation selection (TS). As such, during their efforts to enhance the quality of public bus services, it is essential that transportation operators and policymakers take into consideration the passengers’ PLS traits, along with all other influencing factors, and utilize them as the primary guideline for the crafting of policies, aimed at achieving public transportation sustainability.

Downloads

Download data is not yet available.

References

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-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Asah Nasrudin, N., Shakila Khalid, N., Abdullah, Y. A., Marzukhi, M. A., & Lim, S. B. (2023). Model of pedestrian crossing behaviour based on road traffic and human factor: A case study of Malaysia Shah Alam City. Journal of Planning Malaysia, 21(5), 32–47. https://doi.org/10.21837/pm.v21i29.1354 DOI: https://doi.org/10.21837/pm.v21i29.1354

Bakar, M. F. A., Norhisham, S., Katman, H. Y., Fai, C. M., Azlan, N. N. I. M., & Samsudin, N. S. S. (2022). Service Quality of Bus Performance in Asia: A Systematic Literature Review and Conceptual Framework. In Sustainability (Switzerland) (Vol. 14, Issue 13). MDPI. https://doi.org/10.3390/su14137998 DOI: https://doi.org/10.3390/su14137998

Barclay, D. W., & Thompson, R. (1995). The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Use as an Illustration. Technology Studies, 2(2), 285–309. https://www.researchgate.net/publication/242663837

De Andreis, F., Curcio, E., Maria Sottoriva, F., & Comite, U. (2023). Multi-criteria decision-making in the transport sector. Multi-Criteria Decision-Making in the Transport Sector, 1–19. https://doi.org/10.5772/intechopen.1001095 DOI: https://doi.org/10.5772/intechopen.1001095

Dinas Perhubungan Pemerintah Kota Batam. (2020, August 11). Jadwal Keberangkatan Bus Trans Batam semua koridor. Dinas Perhubungan Kota Batam. https://dishub.batam.go.id/jadwal-keberangkatan-bus-trans-batam-di-semua-koridor-masa-pandemi-covid-19/

Duleba, S., & Moslem, S. (2018). Sustainable urban transport development with stakeholder participation, an AHP-Kendall model: A case study for Mersin. Sustainability (Switzerland), 10(10). https://doi.org/10.3390/su10103647 DOI: https://doi.org/10.3390/su10103647

Hadi, J. A., Haslimah, A., Nayodi, P., & Nazaruddin, N. (2023). Faktor yang berhubungan dengan perilaku K3 pada sopir angkutan umum dikota Padang Sidempuan. Media Publikasi Promosi Kesehatan Indonesia, 6(2), 254–260. https://doi.org/10.31934/mppki.v2i3 DOI: https://doi.org/10.56338/mppki.v6i2.3027

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. In European Business Review (Vol. 31, Issue 1, pp. 2–24). Emerald Group Publishing Ltd. https://doi.org/10.1108/EBR-11-2018-0203 DOI: https://doi.org/10.1108/EBR-11-2018-0203

Hair, Joseph. F., Ringle, Christian. M., Dank, Nicholas. P., Hult, G. T., Sarstedt, M., Bolyai, B., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer Nature Switzerland. https://doi.org/https://doi.org/10.1007/978-3-030-80519-7 DOI: https://doi.org/10.1007/978-3-030-80519-7

Hashimah, N., Lim, H., Tsong Teh, B., Hazwani, N., Hashim, N., Supramanian, R. K., Baharudin, U. W., & Rafee Majid, M. (2023). Factor influencing pre-and post-covid-19 transport mode shift in workplace travel. Journal of Planning Malaysia, 21(5), 141–154. https://doi.org/10.21837/pm.v21i29.1361 DOI: https://doi.org/10.21837/pm.v21i29.1361

Henke, I., Cartenì, A., Molitierno, C., & Errico, A. (2020). Decision-Making in the transport sector: A sustainable evaluation method for road infrastructure. Sustainability (Switzerland), 12(3). https://doi.org/10.3390/su12030764 DOI: https://doi.org/10.3390/su12030764

Ismael, K., & Duleba, S. (2022). A systematic review of the latest advancements on structural equation modelling (SEM) technique focusing on applications in transportation planning. Periodica Polytechnica Transportation Engineering, 50(4), 336–343. https://doi.org/10.3311/PPtr.17523 DOI: https://doi.org/10.3311/PPtr.17523

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101 DOI: https://doi.org/10.4018/ijec.2015100101

Lai, W. T., & Chen, C. F. (2011). Behavioral intentions of public transit passengers-The roles of service quality, perceived value, satisfaction and involvement. Transport Policy, 18(2), 318–325. https://doi.org/10.1016/j.tranpol.2010.09.003 DOI: https://doi.org/10.1016/j.tranpol.2010.09.003

Liu, C., Bardaka, E., & Paschalidis, E. (2023). Sustainable transport choices in public transit access: Travel behavior differences between university students and other young adults. International Journal of Sustainable Transportation, 17(6), 679–695. https://doi.org/10.1080/15568318.2022.2084656 DOI: https://doi.org/10.1080/15568318.2022.2084656

Perumal, S. S. G., Lusby, R. M., & Larsen, J. (2022). Electric bus planning & scheduling: A review of related problems and methodologies. In European Journal of Operational Research (Vol. 301, Issue 2, pp. 395–413). Elsevier B.V. https://doi.org/10.1016/j.ejor.2021.10.058 DOI: https://doi.org/10.1016/j.ejor.2021.10.058

Peter, J. P., & Oslon, Jerry. C. (2010). Consumer behavior & marketing strategy (Ninth Edition). McGraw-Hill.

Saleem, M. A., Afzal, H., Ahmad, F., Ismail, H., & Nguyen, N. (2023). An exploration and importance-performance analysis of bus rapid transit systems’ service quality attributes: Evidence from an emerging economy. Transport Policy, 141, 1–13. https://doi.org/10.1016/j.tranpol.2023.07.010 DOI: https://doi.org/10.1016/j.tranpol.2023.07.010

Sarstedt, M., & Danks, N. P. (2022). Prediction in HRM research–A gap between rhetoric and reality. In Human Resource Management Journal (Vol. 32, Issue 2, pp. 485–513). John Wiley and Sons Inc. https://doi.org/10.1111/1748-8583.12400 DOI: https://doi.org/10.1111/1748-8583.12400

Sweis, R. J., Al-Mansour, A., Tarawneh, M., & Al-Dweik, G. (2013). The impact of total quality management practices on employee empowerment in the healthcare sector in Saudi Arabia: a study of King Khalid Hospital. In Int. J. Productivity and Quality Management (Vol. 12, Issue 3). DOI: https://doi.org/10.1504/IJPQM.2013.056149

Wafa, W., Hamzah Sharaai, A., Mukhtar, S., Sahak, K., & Afghan, R. (2023). Urban development and waste management planning in Kabul new city, Afghanistan: A case study. Journal of Planning Malaysia, 21(5), 96–109. https://doi.org/10.21837/pm.v21i29.1358 DOI: https://doi.org/10.21837/pm.v21i29.1358

Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. In Source: MIS Quarterly (Vol. 33, Issue 1). http://www.jstor.orgStableURL:http://www.jstor.org/stable/ DOI: https://doi.org/10.2307/20650284

Wong Kay, K. K. (2015). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Buletin, 24(1), 1–32. http://www.researchgate.net/publication/268449353

Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.2307/1251929 DOI: https://doi.org/10.1177/002224299606000203

Downloads

Published

2024-02-22

How to Cite

Sugito, E., Mohamad, D., & Roosli, R. (2024). THE EFFECTS OF PASSENGER BEHAVIOUR ON PUBLIC BUS TRANSPORT SELECTION DECISION-MAKING. PLANNING MALAYSIA, 22(30). https://doi.org/10.21837/pm.v22i30.1440