Author:
Sugito Ery,Mohamad Diana,Roosli Ruhizal
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.
Publisher
Malaysian Institute of Planners
Reference25 articles.
1. 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
2. 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
3. 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
4. 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
5. 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