ANALISIS PREFERENSI PEMILIHAN MODA TRANSPORTASI KERETA CEPAT INDONESIA CINA (KCIC) RUTE JAKARTA - BANDUNG

Wingky Hamonangan Simalango; Efendy Tambunan; Lolom Evalita Hutabarat

doi:10.33541/cen.v7i1.8627

Authors

Wingky Hamonangan Simalango Universitas Kristen Indonesia (UKI)
Efendy Tambunan Civil Engineering Department Universitas Kristen Indonesia (UKI) Jakarta https://orcid.org/0000-0001-6055-5030
Lolom Evalita Hutabarat Civil Engineering Department Universitas Kristen Indonesia (UKI) Jakarta https://orcid.org/0000-0002-7272-6113

DOI:

https://doi.org/10.33541/cen.v7i1.8627

Keywords:

High-Speed Train, Service Quality, SPSS Analysis

Abstract

Measuring customer satisfaction is crucial for increasing loyalty and increasing the number of high-speed train users. Research on high-speed trains has provided insights into service quality. In general, passengers are satisfied with the service provided, especially regarding the important features that characterize high-speed trains. The Jakarta-Bandung High-Speed Train (KCJB) WHOOSH has the potential to drive new economic growth while complementing the railway transportation ecosystem in Indonesia. Evaluating the performance of services and facilities provided by PT KCIC, especially at the Halim Perdanakusuma Whoosh High-Speed Train Station, East Jakarta, based on studies of service levels to users at several stations, is expected to increase the number of users. This descriptive quantitative research aims to analyze the determinants of public choice of the WHOOSH transportation mode. Primary data were obtained through questionnaires and tested for validity and reliability using SPSS. Data analysis using SPSS showed that there were two variables with the strongest influence on passenger motivation: perceived comfort according to standards (41.75%) and ease of access to the station (55.48%). Variables that do not support the motivation of high-speed train passengers are variables X3 (complaints experienced by customers), X4 (arrival and departure times), X5 (services according to passenger needs), X6 (high-speed train ticket prices), X7 (additional service facilities), and X8 (high-speed train travel frequency). From these variables, the initial eigenvalues are below 10%. Based on the results of public responses that are quite satisfied with the existence of high-speed trains as an alternative mode of transportation to Bandung City, it is hoped that the government and KCIC will improve services in terms of fares, which can be said to still not be in accordance with what the public wants. Thus, station accessibility and fleet comfort are the main keys to passenger preferences for train transportation.

References

Armstrong, G., Kotler, P., Harker, M., & Brennan, R. (2025). Marketing: An Introduction. In Pearson Education. https://doi.org/doi.org/10.26181/28888808.v1

Chen, Z., & Haynes, K. E. (2017). Impact of high-speed rail on regional economic disparity in China. Journal of Transport Geography, 65, 80–91.

Chou, J. S., Kim, C., Kuo, Y. C., & Ou, N. C. (2011). Deploying effective service strategy in the operations stage of high-speed rail. Transportation Research Part E: Logistics and Transportation Review, 47(4), 507–519. https://doi.org/10.1016/j.tre.2010.12.004

Delaplace, M. (2021). High-Speed Rail and the City. In International Encyclopedia of Transportation. https://doi.org/10.1016/b978-0-08-102671-7.10693-1

Gao, Y., Su, W., & Wang, K. (2019). Does high-speed rail boost tourism growth? New evidence from China. Tourism Management, 72, 220-231.

KCIC. (2023). Progres dan Realisasi Layanan Kereta Cepat Whoosh pada 2023.

Kotler, P. (2017). Customer Value Management. Journal of Creating Value, 3, 170–172. https://doi.org/10.1177/2394964317706879

Lee, J. H., Jin, B. S., & Ji, Y. (2009). Development of a Structural Equation Model for ride comfort of the Korean high-speed railway. International Journal of Industrial Ergonomics, 39(1), 7-14.

Momenitabar, M., Bridgelall, R., Ebrahimi, Z. D., & Arani, M. (2021). (2021). Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World. Sustainability. https://doi.org/. https://doi.org/10.3390/su132112231

Ozkazanç, S. (2021). High Speed Rail Passenger Satisfaction according to Socio-Demographic Variables in Turkey. MEGARON / Yıldız Technical University, Faculty of Architecture E-Journal., 16(1). https://doi.org/10.14744/megaron.2020.64426

Wu, J. H. C., Yu-Chiang, L., & Fu-Sung, H. (2011). An empirical analysis of synthesizing the effects of service quality, perceived value, corporate image and customer satisfaction on behavioral intentions in the transport industry: A case of Taiwan high-speed rail. Innovative Marketing, 7(3).

Yang, W., Chen, Q., & Yang, J. (2022). Factors affecting travel mode choice between high-speed railway and road passenger transport—evidence from China. Sustainability, 14(23), 15745.

Yangailo, T. (2024). Understanding the Link between High-Speed Rail and Economic Growth. International Research Journal of Business Studies. https://doi.org/10.21632/irjbs.17.3.239-250

Yusuf, M., & Khoirunurrofik, K. (2022). The Relationship of Village Funds With Village Economic Development: A Village Level Study in Indonesia. Jurnal Bina Praja, 14(3), 493–504. https://doi.org/10.21787/jbp.14.2022.493-504

Zhen, F., Cao, J., & Tang, J. (2018). Exploring correlates of passenger satisfaction and service improvement priorities of the Shanghai-Nanjing High Speed Rail. Journal of Transport and Land Use, 11(1), 559–573. https://doi.org/10.5198/jtlu.2018.958