Analysis of Passenger Transport Mode Choice Between Bus and Airplane to Improve Service (Case Study: Palembang-Jakarta Route)
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Renita Vira Maulidina*
Sutanto Soehodho
Nahry Nahry
The development of public transport in Indonesia is an important factor in supporting community mobility, especially in inter-city travel. This study aims to analyze the factors that influence the choice of transport mode between buses and airplanes on the Palembang-Jakarta route. This study uses the binary logistic regression method to identify the probability of users choosing one mode of transport based on various factors. Inter-city mobility in Indonesia is increasing, especially for travel between Palembang and Jakarta. The choice of efficient modes of transport is an important factor for users, with two main modes available, namely buses and airplanes. This study aims to analyze the factors that influence the choice of transportation mode by considering variables such as travel costs, travel time, comfort, safety, and accessibility. The research method used is binary logistic regression, which allows for the analysis of the probability of mode selection based on influential factors. Data was collected through a questionnaire survey involving respondents who had travelled from Palembang to Jakarta. Based on the results of the study, optimization of public transport services is needed to improve competitiveness and enhance travel comfort and safety. This study provides insights for transport service providers and policymakers in designing more efficient and sustainable transport policies.
Ariansyah, K., Dwi Takariani, C. S., Sari, D., Setiawan, A. B., Budhirianto, S., Ardison, Nugroho, A. C., Hidayat, D., & Hikmaturokhman, A. (2025). Transportation accessibility for people with disabilities: Examining preferences for conventional public transport and ride-hailing services in Indonesia. Case Studies on Transport Policy, 20, 101451. https://doi.org/10.1016/j.cstp.2025.101451
BPS. (2024). Provinsi Sumatera Selatan Dalam Angka 2024. https://sumsel.bps.go.id/id/publication/2024/02/28/24b0b0a6676d1d095ab88ce2/provinsi-sumatera-selatan-dalam-angka-2024.html
Hensher, D., Wei, E., & Liu, W. (2025). Systematic Assessment of Push and Pull Initiatives in Behavioural Responses Associated with Public Transport Fares, Service Frequency, Car-Related Tolls, Distance-Based Road User Charges, and Parking Charges. Case Studies on Transport Policy, 23, 101656. https://doi.org/10.2139/ssrn.5117118
McFadden, D. (1974). The measurement of urban travel demand. Journal of Public Economics, 3(4), 303–328. https://doi.org/10.1016/0047-2727(74)90003-6
Meixell, M. J., & Norbis, M. (2008). A review of the transportation mode choice and carrier selection literature. The International Journal of Logistics Management, 19(2), 183–211. https://doi.org/10.1108/09574090810895951
Morlok, E. K. (1978). Introduction to transportation engineering and planning. McGraw-Hill.
Nala, D. D. O., Hardati, R. N., & Trianti, K. (2024). The Influence of Price, Service Quality, and Promotion on the Decision to Use GrabBike Services in Malang City: (A Study on Students of the Faculty of Administrative Sciences at Islamic University of Malang Who Use Grab Online Transportation). Journal of International Accounting, Taxation and Information Systems, 1(2), 84–94. https://doi.org/10.70865/jiatis.v1i2.55
Ortega, M. F. G., & Link, H. (2025). Mode choice inertia and shock: Three months of almost fare-free public transport in Germany. Economics of Transportation, 41, 100382. https://doi.org/10.1016/j.ecotra.2024.100382
Qiu, G., Li, T., & Guan, T. (2025). Analysing Mode Choice Behaviour in a Multi-modal Commuting System with Customised Bus Services. Journal of Transport Economics and Policy, 59(2), 85–109. https://doi.org/10.3828/jtep.2025.59.2.85
Reck, D. J., & Axhausen, K. W. (2020). How Much of Which Mode? Using Revealed Preference Data to Design Mobility As a Service Plans. Transportation Research Record: Journal of the Transportation Research Board, 2674(7), 494–503. https://doi.org/10.1177/0361198120923667
Salazar-Serna, K., Cadavid, L., & Franco, C. J. (2024). Modeling Urban Transport Choices: Incorporating Sociocultural Aspects. 2024 Winter Simulation Conference (WSC), 146–157. https://doi.org/10.1109/WSC63780.2024.10838860
Saleh, S., Apriandy, F., Sugiarto, S., Lulusi, L., & Salmannur, A. (2022). Investigating the determinants of travel mode choice across age classes in Langsa, Indonesia utilizing logit model. Journal of Applied Engineering Science, 20(2), 511–522. https://doi.org/10.5937/jaes0-34044
Saputri, F. A. A., Patriadi, A., & Tjendani, H. T. (2025). VISSIM Modeling and Simulation to Optimize the Performance of the Blimbing Ngoro Three-Way Intersection in Jombang Regency. INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM, 4(2), 315–328. https://doi.org/10.55047/ijateis.v4i2.1742
Tamin, O. Z. (1997). Public transport demand estimation by calibrating a trip distribution‐mode choice (TDMC) model from passenger counts: A case study in Bandung, Indonesia. Journal of Advanced Transportation, 31(1), 5–18. https://doi.org/10.1002/atr.5670310103
Yang, C., Dong, W., Yuan, Q., Cao, R., & Yu, C. (2025). Integrating user values assessment with the augmented RFM model to enhance bus transit systems’ market segmentation. Transport Policy, 171, 50–62. https://doi.org/10.1016/j.tranpol.2025.05.028
Zein, F. H., Muhammadun, H., & Marleno, R. (2024). Comparative Analysis of Road Network Simulation Model Performance of Pahlawan Road Area. International Journal of Social Science and Community Service, 2(2), 67–75. https://doi.org/10.70865/ijsscs.v2i2.22
Zhou, Y., Wang, P., Zheng, S., Zhao, M., Lam, W. H. K., Chen, A., Sze, N. N., & Chen, Y. (2024). Modeling dynamic travel mode choices using cumulative prospect theory. Transportation Research Part A: Policy and Practice, 179, 103938. https://doi.org/10.1016/j.tra.2023.103938
