Analysis Of Factor Mode Choice of Local Trains and Feeder Trains as Connecting Transportations Modes of Whoosh High-Speed Train From-To Padalarang Station

Authors

  • Teguh Raharjo Program Studi Manajemen Transportasi, Universitas Logistik dan Bisnis Internasional, Kota Bandung, 40151, Indonesia
  • Hartati Mediyanti Pakpahan Program Studi Manajemen Transportasi, Universitas Logistik dan Bisnis Internasional, Kota Bandung, 40151, Indonesia
  • Teguh Tuhu Prasetyo Program Studi Manajemen Transportasi, Universitas Logistik dan Bisnis Internasional, Kota Bandung, 40151, Indonesia

DOI:

https://doi.org/10.28932/jts.v21i2.9541

Keywords:

Factor Analysis, Difference Binary Logit, Mode Selection, Revealed Preference, Sensitivity

Abstract

With the provision of feeder mode (Feeder) train, which consists of Feeder Train and Commuter Line Bandung Raya, it will provide several alternatives for passengers who will continue their trip to the center of Bandung City. Under existing conditions, the Feeder Train experienced a significant increase in interest compared to the Commuter Line Bandung so that there is a gap in the probability of Feeder Train passengers with Commuter Line Bandung Raya. This is what makes researchers feel the need to analyze passengers' preferences in choosing the next mode of transportation and get an understanding of what factors influence the choice of transportation and sensitivity to the model. The number of samples from this study amounted to 96 respondents with data analysis methods using logistic regression analysis and binary logit difference analysis. Based on the results of logistic regression analysis, the following difference utility function model is obtained: PFeeder = 1/(1+ e^(-(0.442 + (X1) + 0.122 (X2) + 0.023 (X3) + 0.020 (X4) + (X5))) with PFeeder = Probability of Feeder Train, PCL = Probability of Comline Baraya, X1 = cost, X2 = frequency, X3 = travel time, X4 = headway, X5 = capacity. From the model, a higher probability of choosing Feeder Train is obtained with a probability value of 61% and the probability value of Commuter Line Bandung Raya is 39%. In other words, respondents still tend to choose Feeder Train to be used as a further mode of transportation, with influencing factors based on test results with high significance, namely cost, time and headway. From the results of the sensitivity analysis of the cost, travel time and headway variables, the cost variable is the most sensitive variable if there is a change in value on the attribute compared to the travel time and headway variables.

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References

Jabnabillah, F., & Margina, N. (2022). Analisis Korelasi Pearson dalam Menentukan Hubungan Antara Motivasi Belajar dengan Kemandirian Belajar pada Pembelajaran Daring. In Jurnal Sintak (Vol. 1, Issue 1). https://doi.org/

kcic.co.id. (2023). Terintegrasi dengan KA Feeder, Perjalanan Stasiun Halim Menuju Stasiun Bandung Hanya 50 Menit.

Nur, N. K., Rangan, P. R., & Mahyuddin. (2021). Sistem Transportasi. In Gastronomía ecuatoriana y turismo local. (Vol. 1, Issue 69).

Perpres. (2016). Retrieved from Peraturan Presiden (Perpres) Nomor 3 Tahun 2016 tentang Percepatan Pelaksanaan Proyek Strategis Nasional

Rahmatullah, A. R. (2022). Integrasi Antar Transportasi Umum di Kota. Jurnal Pengembangan Kota, 36-46.

Sugiyono, P. D. (2019). Metode Penelitian. Bandung: Alfabeta, CV.

Sun, X. (2021). Transportation Mode Choice Behavior with Recommender Systems: A Case Study on Beijing. Transportation Research Interdisciplinary Perspectives.

Tamin dan Ofyar Z. (2008). Perencanaan, Pemodelan, dan Rekayasa Transportasi. Penerbit ITB.

Tyas Eka Oktavia, P. N. (2023). Pemilihan Antara 2 Moda Feeder Kereta Cepat Jakarta Bandung dari Stasiun Padalarang. Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil.

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Published

2025-10-01

How to Cite

Raharjo, T., Pakpahan, H. M., & Prasetyo, T. T. (2025). Analysis Of Factor Mode Choice of Local Trains and Feeder Trains as Connecting Transportations Modes of Whoosh High-Speed Train From-To Padalarang Station. Jurnal Teknik Sipil, 21(2), 334–346. https://doi.org/10.28932/jts.v21i2.9541