The Factors Influencing Rail Transit Ridership: A Case Study of Klang Valley Malaysia

Loo Yew Liang and Li Kuo
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Loo Yew Liang: New Era University College, Kajang, Selangor, Malaysia
Li Kuo: New Era University College, Kajang, Selangor, Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 5, 4846-4862

Abstract: Klang Valley faces challenges in attracting and retaining rail transit ridership, highlighting a significant gap in existing literature. This study aims to identify and analyze the key factors influencing rail transit ridership, including frequencies of train services, convenience, and ticket price. Adopting a quantitative research design, a sample size of 170 is selected through mixed technique including stratified sampling and random sampling technique, and data is collected using questionnaires sent out through Google form. Diagnostic analysis, inferential analysis (Pearson correlation), and descriptive analysis are conducted to analyze the data. The findings reveal significant insights into the relationships between these factors and rail transit ridership in the Klang Valley. Cronbach’s alpha ensures the internal consistency of the measurement scales, while Pearson correlation identifies the impact of frequencies of train services, convenience, and ticket price on ridership. These findings contribute to bridging the existing gap in literature and provide practical implications for transportation authorities and policymakers to enhance ridership and improve public transportation services. In conclusion, a comprehensive understanding of the factors influencing rail transit ridership is essential for optimizing services and meeting the needs of passengers in the Klang Valley.

Date: 2025
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