NLP-Based Decision Support System for PUV Management: Enhancing Services Through Passenger Feedback Analysis

Authors

  • Titus D. Castor School of Information and Communications Technology, West Visayas State University – Calinog Campus, Calinog, Iloilo, Western Visayas, Philippines

DOI:

https://doi.org/10.69478/JITC2024v6n002a09

Keywords:

Public Utility Vehicle, Feedback System, Transportation, Decision Support Systems, Natural Language Processing (NLP)

Abstract

This paper presents the development and evaluation of an NLP-Based Decision Support System for Public Utility Vehicle (PUV) Management, focusing on enhancing services through passenger feedback analysis. The study addresses the need for improved public transportation quality in the Philippines, where PUVs play a vital role in daily commuting. The proposed system aims to digitize the passenger feedback process and utilize Natural Language Processing (NLP) techniques to provide decision support for PUV operators. Methodologically, the study follows a phased approach based on the System Development Life Cycle (SDLC). Developed primarily using PHP as the programming language, with Vanilla JS, Bootstrap, and jQuery for backend development and frontend technologies including HTML5, CSS3, and JavaScript (ES6) for creating an interactive user interface, the system caters to the needs of its different users. The evaluation process incorporates the ISO 25010 standard for evaluating systems, and with the participation of 43 respondents from the province of Iloilo, the evaluation results revealed an overall mean score of 4.34, indicating an "Excellent" level of system functionality, reliability, portability, usability, performance efficiency, security, compatibility, and maintainability. This implies that PUV operators and management can use the developed system.

References

J. Kim, J. D. Schmöcker, J. W. Yu, J. Y. Choi, “Service Quality Evaluation for Urban Rail Transfer Facilities with Rasch Analysis,” Travel Behaviour and Society, vol. 13, January 2018, pp. 26-35, https://doi.org/10.1016/j.tbs.2018.05.002.

Mateo-Babiano, R. B. Recio, D. P. Ashmore, M. D. Guillen, S. M. Gaspay, “Formalizing the Jeepney Industry in the Philippines – A Confirmatory Thematic Analysis of Key Transitionary Issues”, Research in Transportation Economics, vol. 83, March 2020, pp. 100839, https://doi.org/10.1016/j.retrec.2020.100839.

M. M. Cahigas, Y. T. Prasetyo, S. F. Persada, A. K. S. Ong, R. Nadlifatin, “Understanding the Perceived Behavior of Public Utility Bus Passengers During the Era of COVID-19 Pandemic in the Philippines: Application of Social Exchange Theory and Theory of Planned Behavior”, Research in Transportation Business & Management, vol. 45, part C, March 2022, pp. 100840, https://doi.org/10.1016/j.rtbm.2022.100840.

A. Anburuvel, W. U. L. D. P. Perera, R. D. S. S. Randeniya, “A Demand Responsive Public Transport for a Spatially Scattered Population in a Developing Country”, Case Studies on Transport Policy, vol. 10, no. 1, February 2022, pp. 187-197, https://doi.org/10.1016/j.cstp.2021.12.001.

T. Litman, “Valuing Transit Service Quality Improvements”, Journal of Public Transportation, vol. 11, no. 2, 2008, pp. 43-63, https://doi.org/10.5038/2375-0901.11.2.3.

Y. Wang, Z. Zhang, M. Zhu, H. Wang, “The Impact of Service Quality and Customer Satisfaction on Reuse Intention in Urban Rail Transit in Tianjin, China,” SAGE Open, vol. 10, no. 1, January 2020, pp. 1-10, https://doi.org/10.1177/2158244019898803.

Y. H. Huang, M. Roetting, J. R. McDevitt, D. Melton, G. S. Smith, “Feedback by technology: Attitudes and opinions of truck drivers,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 8, no. 4–5, July-September 2005, pp. 277-297, https://doi.org/10.1016/j.trf.2005.04.005.

K. A. Hutton, C. G. Sibley, D. N. Harper, M. J. Hunt, “Modifying Driver Behaviour with Passenger Feedback,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 4, no. 4, December 2001, pp. 257-269, https://doi.org/10.1016/S1369-8478(01)00027-4.

A. N. Kluger, A. DeNisi, “The Effects of Feedback Interventions on Performance: A Historical Review, A Meta-analysis, and A Preliminary Feedback Intervention Theory,” Psychological Bulletin, vol. 119, no. 2, February 1996, pp. 254-284, https://doi.org/10.1037/0033-2909.119.2.254.

T. Chuenyindee, A. K. S. Ong, J. P. Ramos, Y. T. Prasetyo, R. Nadlifatin, Y. B. Kurata, T. Sittiwatethanasiri, “Public Utility Vehicle Service Quality and Customer Satisfaction in the Philippines During the COVID-19 Pandemic,” Utility Policy, vol. 75, April 2022, https://doi.org/10.1016/j.jup.2022.101336.

A. Stelzer, F. Englert, S. Hörold, C. Mayas, “Improving Service Quality in Public Transportation Systems Using Automated Customer Feedback,” Transportation Research Part E: Logistics and Transportation Review, vol. 89, May 2016, pp. 259-271, https://doi.org/10.1016/j.tre.2015.05.010.

N. A. Rahman, Y. A. Abdullah, “Theorizing the Concept of Urban Public Transportation Institutional Framework in Malaysia,” MATEC Web of Conferences, vol. 66, July 2016, https://doi.org/10.1051/matecconf/20166600043.

J. Doyle, B. Francis, A. Tannenbaum, “Feedback Control Theory,” Macmillan Publishing Co., January 2009, https://doi.org/10.1007/978-0-387-85460-1_1.

J. Spacey, “Decision Support Techniques,” Simplicable, https://simplicable.com/IT/decision-support.

R. Armacost, “Decision Support Systems,” I Know LLC, https://www.iknow.us/technologies/decision-support-systems.

M. Smallcombe, “A Brief History of Data Analysis,” Integrate.io, https://www.integrate.io/blog/a-brief-history-of-data-analysis/.

U. Fayyad, R. Uthurusamy, “Evolving Data into Mining Solutions for Insights,” Communications of the ACM, vol. 45, no. 8, August 2002, pp. 28-31, https://doi.org/10.1145/545151.545174.

R. C. Richey, “The Pursuit of Useable Knowledge in Instructional Technology,” Educational Technology Research and Development, vol. 46, December 1998, pp. 7-22, https://doi.org/10.1007/BF02299670.

R. S. Mission, “Online Support Management System for University of Antique”, Journal of Innovative Technology Convergence, vol. 2, no. 2, December 2020, pp. 39-52, https://doi.org/10.69478/JITC2020v2n2a05.

International Organization for Standardization, “ISO/IEC 25010:2011 Systems and software engineering - System and software Quality Requirements and Evaluation (SQRE) - Part 1: Quality models,” https://iso25000.com/index.php/en/iso-25000-standards/iso-25010.

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Published

2024-06-30

How to Cite

NLP-Based Decision Support System for PUV Management: Enhancing Services Through Passenger Feedback Analysis. (2024). Journal of Innovative Technology Convergence, 6(2). https://doi.org/10.69478/JITC2024v6n002a09

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