HomeInternational Journal of Multidisciplinary: Applied Business and Education Researchvol. 7 no. 5 (2026)

Commuter Boarding Management Practices and its Effects on Passenger Experience at Cebu South Bus Terminal, Philippines

Keers E. Adolfo | Oudy Francis A. Acedo | Mova M. Alicaway | Gwendolyn G. Anoya | Kristine A. Aratia | Nesta Rudy Marcus P. Flores | Lalaine O. Narsico | Peter G. Narsico

Discipline: Marketing

 



References:

  1. Alanazi, M. S. M., Li, J., & Jenkins, K. W. (2024). Evaluating airport service quality based on the statistical and predictive analysis of Skytrax passenger reviews. Applied Sci-ences, 14(20), 9472. https://doi.org/10.3390/app14209472">https://doi.org/10.3390/app14209472">https://doi.org/10.3390/app14209472
  2. Al-Nami, W. T. (2023). Ranking and analysis the strategies of crowd management to re-duce the risks of crushes and stampedes in crowded environments and ensure the safety of passengers [Dataset]. Neutro-sophic Systems with Applications, 8. https://doi.org/10.5281/ze-nodo.8243157">https://doi.org/10.5281/ze-nodo.8243157">https://doi.org/10.5281/ze-nodo.8243157
  3. Amponsah, C. T., & Adams, F. (2016). Service quality and customer satisfaction in pub-lic transport: Evidence from Canada. In-ternational Journal of Business and Social Science, 7(2), 1–9. Retrieved from https://ijbssnet.com/jour-nals/Vol_7_No_2_February_2016/1.pdf">https://ijbssnet.com/jour-nals/Vol_7_No_2_February_2016/1.pdf">https://ijbssnet.com/jour-nals/Vol_7_No_2_February_2016/1.pdf
  4. Bakır, M., Akan, Ş., Özdemir, E., Nguyen, P.-H., Tsai, J.-F., & Pham, H.-A. (2022). How to achieve passenger satisfaction in the air-port? Findings from regression analysis and necessary condition analysis ap-proaches through online airport reviews. Sustainability,14(4), Article 2151. https://doi.org/10.3390/su14042151 [mdpi.com], [pdfs.seman...cholar.org]
  5. Benigra, K. A., Lavisores, E. L. T., Palacio, Z. T., & Cavero, D. B. M. (2025). Assessing the ser-vice quality and passenger satisfaction at Cebu North Bus Terminal: A structural equation modeling approach for optimal public transportation management. 2025 International Conference on Artificial In-telligence, Computer, Data Sciences and Applications (ACDSA), 1–5. https://doi.org/10.1109/AC-DSA65407.2025.11165830">https://doi.org/10.1109/AC-DSA65407.2025.11165830">https://doi.org/10.1109/AC-DSA65407.2025.11165830
  6. de Gouveia, J. A. M., Ferreira, M. L., Dias, M. L. R. P., Porkorny, M. S., & Dias, E. M. (2014). An operational model of bus terminal man-agement based on daily passengers de-mands. INASE International Journal of Systems. Retrieved from https://inase.org/library/2014/santo-rini/bypaper/SYSTEMS/SYSTEMS2-15.pdf">https://inase.org/library/2014/santo-rini/bypaper/SYSTEMS/SYSTEMS2-15.pdf">https://inase.org/library/2014/santo-rini/bypaper/SYSTEMS/SYSTEMS2-15.pdf
  7. Darsena, D., Gelli, G., Iudice, I., & Verde, F. (2022). Sensing technologies for crowd management, adaptation, and infor-mation dissemination in public transpor-tation systems: A review. IEEE Sensors Journal, 23(1), 68–87. https://doi.org/10.1109/JSEN.2022.3223297">https://doi.org/10.1109/JSEN.2022.3223297">https://doi.org/10.1109/JSEN.2022.3223297
  8. Eboli, L., & Mazzulla, G. (2009). A new customer satisfaction index for evaluating transit service quality. Journal of Public Transpor-tation, 12(3), 21–37. https://doi.org/10.5038/2375-0901.12.3.2">https://doi.org/10.5038/2375-0901.12.3.2">https://doi.org/10.5038/2375-0901.12.3.2
  9. Fan, Y., Guthrie, A., & Levinson, D. (2016). Per-ception of waiting time at transit stops and stations. Center for Transportation Studies, University of Minnesota. https://hdl.handle.net/11299/180134">https://hdl.handle.net/11299/180134">https://hdl.handle.net/11299/180134
  10. Fernández-Lobo, A., Benavente, J., & Monzón, A. (2025). Dynamic management tool for im-proving passenger experience at transport interchanges. Future Transpor-tation, 5(2), 59. https://doi.org/10.3390/future-transp5020059">https://doi.org/10.3390/future-transp5020059">https://doi.org/10.3390/future-transp5020059
  11. Fu, X., & Juan, Z. (2016). Exploring the psycho-logical factors affecting public transporta-tion use: A combined model of TPB and customer satisfaction. Transportation Re-search Part A: Policy and Practice, 94, 272–285. https://doi.org/10.1016/j.tra.2016.09.015">https://doi.org/10.1016/j.tra.2016.09.015">https://doi.org/10.1016/j.tra.2016.09.015
  12. Gumasing, M. J. J., Del Castillo, T. R. P., Palermo, A. G. L., Tabino, J. T. G., & Gatchalian, J. T. (2025). Enhancing accessibility in Philip-pine public bus systems: Addressing the needs of persons with disabilities. Disabil-ities, 5(2), Article 45. https://doi.org/10.3390/disabili-ties5020045">https://doi.org/10.3390/disabili-ties5020045">https://doi.org/10.3390/disabili-ties5020045
  13. Hasan, U., Whyte, A., & Al Jassmi, H. (2021). Public bus transport service satisfaction: Understanding its value to urban passengers towards improved uptake. Transactions on Transport Sciences, 1, Article e002. https://doi.org/10.5507/tots.2021.002">https://doi.org/10.5507/tots.2021.002">https://doi.org/10.5507/tots.2021.002
  14. Islam, R., Hossain, M. M., & Hoque, M. M. (2014). Factors influencing the passenger satisfaction of public bus transport in university town: A case study in Malaysia. International Journal of Engineering and Technology (IJET), 6(1), 1–9. Retrieved from https://www.researchgate.net/publication/260421982">https://www.researchgate.net/publication/260421982">https://www.researchgate.net/publication/260421982
  15. Jou, Y.-T., Saflor, C. S., Mariñas, K. A., & Young, M. N. (2023). Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions. Sustainability, 15(4), 2996. https://doi.org/10.3390/su15042996">https://doi.org/10.3390/su15042996">https://doi.org/10.3390/su15042996
  16. Legowo, N., & Kaharmies, I. (2023). Enterprise architecture application and business process improvement: A case study of bus terminal in Indonesia. Journal of System and Management Sciences, 13(5), 371–389. https://doi.org/10.33168/JSMS.2023.0524">https://doi.org/10.33168/JSMS.2023.0524">https://doi.org/10.33168/JSMS.2023.0524
  17. Li, X., Fan, J., Wu, Y., Chen, J., & Deng, X. (2020). Exploring influencing factors of passenger satisfaction toward bus transit in small-medium city in China. Discrete Dynamics in Nature and Society, 2020, 1–11. https://doi.org/10.1155/2020/8872115">https://doi.org/10.1155/2020/8872115">https://doi.org/10.1155/2020/8872115
  18. Li, Z., Lo, S. M., Ma, J., & Luo, X. W. (2020). A study on passengers’ alighting and board-ing process at metro platform by com-puter simulation. Transportation Re-search Part A: Policy and Practice, 132, 840–854. https://doi.org/10.1016/j.tra.2019.12.017">https://doi.org/10.1016/j.tra.2019.12.017">https://doi.org/10.1016/j.tra.2019.12.017
  19. Luangboriboon, N. (2025). Passenger flow man-agement in main line railway station (Doc-toral thesis). University College London. Retrieved from https://discov-ery.ucl.ac.uk/id/eprint/10210802/">https://discov-ery.ucl.ac.uk/id/eprint/10210802/">https://discov-ery.ucl.ac.uk/id/eprint/10210802/
  20. Mabini Jr., S. P., Narsico, L. O., & Narsico, P. G. (2024). Service quality, patient satisfac-tion, and improvement indicators. Inter-national Journal of Multidisciplinary: Ap-plied Business and Education Research, 5(4), 1331–1345. https://doi.org/10.11594/ijma-ber.05.04.18">https://doi.org/10.11594/ijma-ber.05.04.18">https://doi.org/10.11594/ijma-ber.05.04.18
  21. Mammo, Y. (2019). Assessment of service de-livery and customer satisfaction in Anbassa City Bus Service Enterprise. Jour-nal of Business and Administrative Studies, 11(1), 1–18. Retrieved from https://www.ajol.info/in-dex.php/jbas/article/view/187819">https://www.ajol.info/in-dex.php/jbas/article/view/187819">https://www.ajol.info/in-dex.php/jbas/article/view/187819
  22. Oprea, C., Roșca, M., Roșca, E., Costea, I., Ilie, A., Dinu, O., & Ruscă, A. (2024). Analyzing passenger flows in an airport terminal: A discrete simulation model. Computation, 12(11), 223. https://doi.org/10.3390/computa-tion12110223 [researchgate.net]
  23. Podder, J., Ahmed, M. A., Toma, U. T., Al Abid, A., & Al Noman, A. (2024). A case study on the satisfaction of passengers and the facili-ties of bus terminal in Dhaka City. Journal of Transportation Engineering and Traffic Management, 6(1). Retrieved from https://www.researchgate.net/pro-file/Joy-Podder/publica-tion/386416725_A_Case_Study_on_the_Satisfaction_of_Passengers_and_the_Facili-ties_of_Bus_Terminal_in_Dhaka_City.pdf">https://www.researchgate.net/pro-file/Joy-Podder/publica-tion/386416725_A_Case_Study_on_the_Satisfaction_of_Passengers_and_the_Facili-ties_of_Bus_Terminal_in_Dhaka_City.pdf">https://www.researchgate.net/pro-file/Joy-Podder/publica-tion/386416725_A_Case_Study_on_the_Satisfaction_of_Passengers_and_the_Facili-ties_of_Bus_Terminal_in_Dhaka_City.pdf
  24. Qin, T. Y., & Husain, S. H. (2025, August 4). Opti-mising space utilisation in public bus termi-nals: Exploring the link between space management and user satisfaction. https://karyailham.com.my/in-dex.php/progee/article/view/539">https://karyailham.com.my/in-dex.php/progee/article/view/539">https://karyailham.com.my/in-dex.php/progee/article/view/539
  25. Roncoli, C., Chandakas, E., & Kaparias, I. (2023). Estimating on-board passenger comfort using automatic passenger counting data. Transportation Research Part C: Emerging Technologies, 146, Article 103963. https://doi.org/10.1016/j.trc.2022.103963">https://doi.org/10.1016/j.trc.2022.103963">https://doi.org/10.1016/j.trc.2022.103963
  26. Rudenko, M. (2016). Quality management sys-tem for passenger transportation in rail-way enterprises. Transport Problems, 11(3), 113–122. https://doi.org/10.20858/tp.2016.11.3.11">https://doi.org/10.20858/tp.2016.11.3.11">https://doi.org/10.20858/tp.2016.11.3.11
  27. Safiullin, R., & Arias, Z. P. (2024). Method of ef-fective implementation of intelligent hardware complexes in the management of passenger transportation processes within urban agglomerations. The Open Transportation Journal, 18, Article e26671212272101. https://doi.org/10.2174/0126671212272101231128060918">https://doi.org/10.2174/0126671212272101231128060918">https://doi.org/10.2174/0126671212272101231128060918
  28. Salum, J. H., Kisabanzira, N., Alluri, P., & Sando, T. (2024). Toolkit for the assessment of safety at bus stops. Transportation Re-search Record, 2678(2), 279–292. https://doi.org/10.1177/03611981231173634">https://doi.org/10.1177/03611981231173634">https://doi.org/10.1177/03611981231173634
  29. Setyawati, R., Wicaksono, A., & Pratama, A. (2020). Improving service quality at Pulo Gebang Integrated Bus Terminal using SERVQUAL, IPA, and QFD methods. IOP Conference Series: Materials Science and Engineering, 847(1), 012029. https://doi.org/10.1088/1757-899X/847/1/012029">https://doi.org/10.1088/1757-899X/847/1/012029">https://doi.org/10.1088/1757-899X/847/1/012029
  30. Shaaban, K., & Khalil, R. F. (2013). Investigating the customer satisfaction of the bus ser-vice in Qatar. Procedia -Social and Behav-ioral Sciences, 104, 865–874. https://doi.org/10.1016/j.sbspro.2013.11.184">https://doi.org/10.1016/j.sbspro.2013.11.184">https://doi.org/10.1016/j.sbspro.2013.11.184
  31. Sogbe, E., Susilawati, S., & Tan, C. P. (2024). Scaling up public transport usage: A sys-tematic literature review of service qual-ity, satisfaction and attitude in developing countries. Public Transport, 17, 1–44. https://doi.org/10.1007/s12469-024-00367-6">https://doi.org/10.1007/s12469-024-00367-6">https://doi.org/10.1007/s12469-024-00367-6
  32. Souassi, M. A., & Hnaka, Z. (2025). Highlighting real-time information impact on passen-ger perception of bus service quality and satisfaction. In Intersection of AI, Data Sci-ence, and Cutting‑Edge Technologies: Con‑cepts to Applications in Smart Environment(pp. 715–724). Springer. https://doi.org/10.1007/978-3-031-90921-4_97">https://doi.org/10.1007/978-3-031-90921-4_97">https://doi.org/10.1007/978-3-031-90921-4_97
  33. Tyrinopoulos, Y., & Aifadopoulou, G. (2008). A complete methodology for the quality control of passenger services in the public transport business. European Transport / Trasporti Europei, 38, 1–16. http://hdl.handle.net/10077/5965">http://hdl.handle.net/10077/5965">http://hdl.handle.net/10077/5965
  34. Van Lierop, D., & El-Geneidy, A. (2016). Enjoy-ing loyalty: The relationship between ser-vice quality, customer satisfaction, and behavioral intentions in public transit. Research in Transportation Economics, 59, 50–59. https://doi.org/10.1016/j.re-trec.2016.04.001">https://doi.org/10.1016/j.re-trec.2016.04.001">https://doi.org/10.1016/j.re-trec.2016.04.001
  35. Wan, D., Xu, Y., & Ding, Y. (2016). Understand-ing factors influencing passenger satisfac-tion and loyalty in bus rapid transit: Evi-dence from New York City. Transportation Research Part A: Policy and Practice, 93, 1–14. https://doi.org/10.1016/j.tra.2016.08.004">https://doi.org/10.1016/j.tra.2016.08.004">https://doi.org/10.1016/j.tra.2016.08.004
  36. Xue, Y., Zhong, M., Xue, L., Zhang, B., Tu, H., Tan, C., & Kong, Q. (2022). Simulation analysis of bus passenger boarding and alighting behavior based on cellular automata. Sus-tainability, 14(4), 2429. https://doi.org/10.3390/su14042429">https://doi.org/10.3390/su14042429">https://doi.org/10.3390/su14042429
  37. Yap, M., & Cats, O. (2021). Taking the path less travelled: Valuation of denied boarding in crowded public transport systems. Trans-portation Research Part A: Policy and Prac-tice, 147, 1–13. https://doi.org/10.1016/j.tra.2021.02.007">https://doi.org/10.1016/j.tra.2021.02.007">https://doi.org/10.1016/j.tra.2021.02.007
  38. Yatskiv, I., Savrasovs, M., Gromule, V., & Zem-ljanikins, V. (2016). Passenger terminal safety: Simulation modelling as decision support tool. Procedia Engineering, 134, 459–468. https://doi.org/10.1016/j.pro-eng.2016.01.068">https://doi.org/10.1016/j.pro-eng.2016.01.068">https://doi.org/10.1016/j.pro-eng.2016.01.068
  39. Yu, H. (2024). Establishment and application of passenger flow safety management evalua-tion model with entropy weight and TOPSIS for metro stations. Faculty of Transport and Traffic Sciences, University of Zagreb.Retrieved from https://hrcak.srce.hr/file/469326">https://hrcak.srce.hr/file/469326">https://hrcak.srce.hr/file/469326
  40. Zhang, Y., Su, R., Zhang, Y., & Guruge, N. S. G. (2022). A multi-bus dispatching strategy based on boarding control. IEEE Transac-tions on Intelligent Transportation Sys-tems. Advance online publication. https://doi.org/10.1109/TITS.2020.304628