Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Overview of Methodology for Developing Expert System Based on Expert View for Quality of Urban Bus Services in Peninsular Malaysia

Shuhairy Norhisham, Muhammad Fadhlullah Abu Bakar, Nor Najwa Irina Mohd Azlan, Siti Nor Dania Ilyane Yasir Apandi, Nor Hazwani Nor Khalid

http://dx.doi.org/10.6007/IJARBSS/v11-i12/11829

Open access

Every country in the world have faced a tremendous growth of development over the last decade. The number migrants from rural area to urban area has led to the increasing the traffic volume in urban and cities area. The public transport provided in Malaysia are public buses, taxis, train, Light Rail Transit and so on. Public transport has a very important role towards urban development and at the same time provides convenient transportation to passengers in economic terms. The objective of this study is to review suitable method to development of expert system view for quality of urban bus services in Peninsular Malaysia. The Expert System's knowledge base is the most significant component, as it is selecting rule from the knowledge base and then performs the actions of that rule. After that, the inference engine chooses another rule to execute. As for the framework of this research including task analysis, Data Collection, Development expert system, Refinement, Verification and Evaluation. The framework that on expert system development have been explained in this paper. There are five important attributes for evaluating bus services which are bus frequency, passenger load, Hours of service, on time performance and comparison of travel time of buses and private vehicles. These features were selected based on a as stakeholder questionnaires that conducted by previous research. According to TCQSM, these five attributes are also labelled in the five grades of service quality which are grade A to E. There is total 25 questions which is each attribute consists 5 questions each. A complete procedure on the fundamental understanding of the basic notions of the phases of Expert System creation with respect to its methodology and stages of development has been attempted.

Agyeman, S., & Cheng, L. (2020). Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes. Transport Policy, 99, 63-85.
Bahadir, M. C., & Hatice, C. A., (2019). The System Dynamics Modelling for Container Capacity & Transportation Planning Policies. The Asian Journal of Shipping and Logistics, 35(4), 200-212.
Boqiang, L. & Chen, Y. (2020). Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry? Applied Energy, 260(2020), 1-13.
Chow, M. F., & Bakar, M. F. A., (2019). Environmental benefits of green roof to the sustainable urban development: A review, Lecturer Notes in Civil Engineering, 9, 1525-1541.
Deb, S., & Ahmed. M. A., (2018). Determining the service quality of the city bus service based on users’ perceptions and expectations. Travel Behaviour and Society, 12, 1-10.
Diab, E., & El-Geneidy. A., (2021). Bus Public Transport Planning and Operations, International Encyclopaedia of Transportation, 2021, 326-332.
Falamarzi, A., Rahmat, R. A., Borhan, M. N., Cheragi, S., & Javadi, H. H. S. (2016). Development of a fuzzy expert system to prioritize traffic calming projects, Jurnal Teknologi, 78(2), 43-53.
Haitao, H., Yang, K., Liang, H., Menendez, M., & Guler. S. I. (2019). Providing public transport priority in the perimeter of urban networks: A bimodal strategy. Transportation Research Part C: Emerging Technologies, 107, 171-192.
Horcher, D. & Tirachini, A. (2021). A review of public transport economics. Economics of Transportation, 25(2021), 1-34.
Mohammed, A., Ambak, K., Mosa, A. M., & Syamsunur, D., (2019). Expert system in engineering transportation: A review, Journal of Engineering Science and Technology, 14(1), 229 – 252.
Munim, Z. H., & Noor, T. (2020). Young people’s perceived service quality and environmental performance of hybrid electric bus, Travel Behaviour and Society, 20, 133-143.
Nelms, M. D., Karmaus, A, L., & Patlewicz, G., (2020). An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity. Computational Toxicology, 16, 1-12.
Norhisham, S., Bakar, M. F. A., Syamsir, A., Zaini, N., Baharin, N. L., Shkuri, N. S. M., & Saad, N. M. (2020). Development of expert system for bus services in Klang Valley, IOP Conference Series: Earth and Environmental Science, 708(1) doi:10.1088/1755-1315/708/1/012039 Retrieved from www.scopus.com.
Norhisham, S., Bakar, M. F. A., Tajri, A., Mohamad, D., Yatuka, S., Masjuki, S. A., Shkuri, N. S., & Zaini, N. (2019). Assessing stakeholder’s view for quality bus services in kuala lumpur. International Journal of Advanced Science and Technology, 28(10), 359-369.
Ribeiro, J., Fontes, T., Soares, C., & Borges. J. L., (2021). Accessibility as an indicator to estimate social exclusion in public transport. Transportation Research Procedia, 52, 740-747.
Sam, E. F., Hamidu, O., & Daniels, S., (2018). SERVQUAL analysis of public bus transport services in Kumasi metropolis, Ghana: core user perspectives. Case Studies on Transport Policy 6 (1), 25–31.
Salleh, B. S., Atiq, R., Rahmat, O. K., & Ismail, A., (2015). Expert System on Selection of Mobility Management Strategies towards Implementing Active Transport. Procedia - Social and Behavioral Sciences, 195, 2896 - 2904.
Welshi, L., Aiping, L., Shudong, L., (2015). A method for knowledge acquisition in diagnostic expert system, Technology and Health Care, 23(1), 55 -59.

In-Text Citation: (Norhisham et al., 2021)
To Cite this Article: Norhisham, S., Bakar, M. F. A., Azlan, N. N. I. M., Apandi, S. N. D. I. Y., & Khalid, N. H. N. (2021). Overview of Methodology for Developing Expert System Based on Expert View for Quality of Urban Bus Services in Peninsular Malaysia. International Journal of Academic Research in Business and Social Sciences, 11(12), 910–918.