Analysis of Argo Parahyangan Train Passenger Interest to Jakarta-Bandung High-Speed Train

Authors

  • Aang Gunawan Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Hendar Kusnandar Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Abdullah Ade Suryobuwono Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Lia Fauziah Nadira Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Siti Nurhidayah Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia

DOI:

https://doi.org/10.38035/jsmd.v3i4.814

Keywords:

Argo Parahyangan, Jakarta-Bandung High-Speed Railway, Moda Choice, Binary Logit Model

Abstract

The Argo Parahyangan train is one of the services provided by PT.KAI (Persero) with Jakarta-Bandung relation is much in demand by the public. The newly commencement Jakarta-Bandung High-Speed Train, with a short time of 36-44 minutes, a maximum capacity of 601 passengers, and a ticket price similar to the Argo Parahyangan train make new competition with the Argo Parahyangan train. This study aims to determine the characteristics and factors influencing modal shifts and calculate the probability of switching Argo Parahyangan train passengers to the Jakarta-Bandung High-Speed Train. The research method used is quantitative. The data collection method used in this research is conducting an online interview survey using revealed preference and stated preference techniques. The total sample in this study was 165 respondents on the results of the slSlovinormula calculation of total Argo Parahyangan Train Passengers in one week mode shift analysis using the binomial logit analysis.

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Published

2026-03-21

How to Cite

Gunawan, A., Kusnandar, H., Suryobuwono, A. A., Nadira, L. F., & Nurhidayah, S. (2026). Analysis of Argo Parahyangan Train Passenger Interest to Jakarta-Bandung High-Speed Train. Jurnal Siber Multi Disiplin , 3(4), 433–445. https://doi.org/10.38035/jsmd.v3i4.814

Issue

Vol. 3 No. 4 (2026): Jurnal Siber Multi Disiplin (Januari - Maret 2026)

Section

Articles

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Copyright (c) 2026 Aang Gunawan, Hendar Kusnandar, Abdullah Ade Suryobuwono, Lia Fauziah Nadira, Siti Nurhidayah

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