Evaluating the Effects of Travel Time and Cost on Mode Choice in Transportation System
DOI:
https://doi.org/10.70028/dcea.v2i2.59Keywords:
Public Transportation, Mode Choice, Stated Preference, Travel Time, Elasticity, Travel CostAbstract
Mode choice in transportation is influenced by factors such as comfort, safety, travel time, cost, and reliability, with most commuters in Banda Aceh preferring private vehicles due to flexibility and efficiency. Travel time and travel cost are identified as major barriers preventing people from switching to public transport, which is often considered less attractive. While studies abroad examine elasticity from multiple perspectives, research in Indonesia has mainly focused on vehicle attributes. The objective of this paper is to analyze the elasticity of travel time and travel cost for users of private vehicles and public transportation. The study employs a binary probit model to estimate elasticity values, utilizing data from a Stated Preference survey of transportation users. The results show that both trip attributes and individual characteristics significantly influence transport mode choice. Longer travel distances, higher travel time, and increased operating costs raise the likelihood of choosing public transport, while being male and having higher education also increase the tendency to select it. Conversely, motorcycle ownership strongly favors private mode choice, and holding a valid driver’s license is an important determinant of travel behavior. The elasticity analysis further reveals that reducing travel and access times for the TransK bus could significantly increase its usage, while policies restricting private vehicle use, such as the odd-even system, may also encourage shifts toward public transport. The study concludes that mode choice in Banda Aceh is mainly driven by travel time, with TransK highly responsive to time improvements, while private vehicles dominate despite cost changes. Encouraging public transport use requires faster, more reliable bus services and restrictions on private vehicle advantages.
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R. Ruslan, S. Sugiarto, R. Anggraini, dan S. M. Saleh, “Investigation of effect socioeconomic characteristic on vehicle ownership in developing country using multinomial logistic regression: A case study in Banda Aceh city,” in AIP Conference Proceedings, 2023, vol. 2711, no. 1, doi: http://dx.doi.org/10.1063/5.0137018
R. Ruslan, S. M. Saleh, R. Anggraini, dan S. Sugiarto, “EXPLORING CONTRIBUTING FACTORS TO HOUSEHOLD VEHICLE OWNERSHIP IN DEVELOPING COUNTRIES: A CASE OF BANDA ACEH, INDONESIA.,” Komunikácie, 2025, [Online]. Availabe at: https://www.ceeol.com/search/article-detail?id=1298492
R. M. Monczka, R. B. Handfield, L. C. Giunipero, dan J. L. Patterson, Purchasing and supply chain management. South-Western, 2009.
A. Mardani, E. K. Zavadskas, Z. Khalifah, A. Jusoh, dan K. M. D. Nor, “Multiple criteria decision-making techniques in transportation systems: A systematic review of the state of the art literature,” Transport, vol. 31, no. 3, pp. 359–385, 2016.
R. A. M. Madhuwanthi, A. Marasinghe, J. RPC, A. D. Dharmawansa, dan S. Nomura, “Factors influencing to travel behavior on transport mode choice-A case of Colombo metropolitan area in Sri Lanka,” Int. J. Affect. Eng., vol. 15, no. 2, pp. 63–72, 2016.
J. Castiglione, M. Bradley, dan J. Gliebe, Activity-based travel demand models: A primer, no. SHRP 2 Report S2-C46-RR-1. 2015.
J. De Vos, “Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction,” Transp. Res. Part A Policy Pract., vol. 117, pp. 261–274, 2018, doi: http://dx.doi.org/10.1016/j.tra.2018.08.034
J. Anable dan B. Gatersleben, “All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes,” Transp. Res. Part A Policy Pract., vol. 39, no. 2–3, pp. 163–181, 2005.
N. J. A. Van Exel dan P. Rietveld, “Perceptions of public transport travel time and their effect on choice-sets among car drivers,” J. Transp. Land Use, vol. 2, no. 3/4, pp. 75–86, 2010.
D. Simons, P. Clarys, I. De Bourdeaudhuij, B. de Geus, C. Vandelanotte, dan B. Deforche, “Factors influencing mode of transport in older adolescents: a qualitative study,” BMC Public Health, vol. 13, no. 1, pp. 323, 2013.
J. Göransson dan H. Andersson, “Factors that make public transport systems attractive: a review of travel preferences and travel mode choices,” Eur. Transp. Res. Rev., vol. 15, no. 1, pp. 32, 2023.
R. Cervero, “Built environments and mode choice: toward a normative framework,” Transp. Res. Part D Transp. Environ., vol. 7, no. 4, pp. 265–284, 2002.
L. Frank, M. Bradley, S. Kavage, J. Chapman, dan T. K. Lawton, “Urban form, travel time, and cost relationships with tour complexity and mode choice,” Transportation (Amst)., vol. 35, no. 1, pp. 37–54, 2008.
L. Redman, M. Friman, T. Gärling, dan T. Hartig, “Quality attributes of public transport that attract car users: A research review,” Transp. policy, vol. 25, pp. 119–127, 2013.
A. Moyano, J. M. Coronado, dan M. Garmendia, “How to choose the most efficient transport mode for weekend tourism journeys: an HSR and private vehicle comparison,” Open Transp. J., vol. 10, no. 1, 2016.
T. Litman, “Transit price elasticities and cross-elasticities,” J. Public Transp., vol. 7, no. 2, pp. 37–58, 2004.
J. Toner, A. Smith, S. Shen, dan P. Wheat, “Review of bus profitability in England-econometric evidence on bus costs-final report,” 2010.
A. Sirikijpanichkul dan S. Winyoopadit, “Price elasticity of demand and transit fare strategy: a case study of Bangkok mass transit system,” in Proceedings of the 4th International Conference on Engineering, Project, and Production Management (EPPM 2013), 2013, pp. 346–360.
N. Vasudevan, N. Gore, R. Zope, S. Arkatkar, dan G. Joshi, “Determining mode shift elasticity based on household income and travel cost,” Res. Transp. Econ., vol. 85, pp. 100771, 2021.
R. Espino, J. de Dios Ortúzar, dan C. Román, “Understanding suburban travel demand: Flexible modelling with revealed and stated choice data,” Transp. Res. Part A Policy Pract., vol. 41, no. 10, pp. 899–912, 2007.
A. Sjafruddin, A. Haryoyudanto, R. D. Wirahadikusumah, dan N. Amalia, “Model Pemilihan Moda Atas Pelayanan Monorel Jakarta Berdasarkan Data Stated Preference (SP),” J. Transp., vol. 8, no. 2, 2008.
G. Sugiyanto dan S. Sugiyanto, “Elastisitas Faktor-faktor Yang Mempengaruhi Permintaan Kebutuhan Angkutan Umum Di London Dan YOGYAKARTA,” J. Transp., vol. 9, no. 1, 2009.
J. de Dios Ortúzar dan L. G. Willumsen, Modelling transport. John wiley & sons, 2024.
J. J. Louviere, D. A. Hensher, dan J. D. Swait, Stated choice methods: analysis and applications. Cambridge university press, 2000.
D. N. Wulansari, “Analisis Pemilihan Moda Angkutan Penumpang Menuju Bandara (Studi Kasus: Bandar Udara Internasional Soekarno–Hatta),” E-Jurnal Kaji. Tek. Sipil, vol. 1, no. 2, pp. 90–100, 2016.
C. Iliopoulou dan K. Kepaptsoglou, “Combining ITS and optimization in public transportation planning: state of the art and future research paths.” Springer, 2019.
M. E. Fadhli dan H. Widodo, “Analisis pengurangan kemacetan berdasarkan sistem ganjil-genap,” Planners Insight Urban Reg. Plan. J., vol. 2, no. 2, pp. 36–41, 2019.
T. B. Joewono dan H. Kubota, “Exploring negative experiences and user loyalty in paratransit,” Transp. Res. Rec., vol. 2034, no. 1, pp. 134–142, 2007.
S. Chowdhury, A. (Avi) Ceder, dan B. Schwalger, “The effects of travel time and cost savings on commuters’ decision to travel on public transport routes involving transfers,” J. Transp. Geogr., vol. 43, pp. 151–159, 2015, doi: http://dx.doi.org/10.1016/j.jtrangeo.2015.01.009
A. Jakob, J. L. Craig, dan G. Fisher, “Transport cost analysis: a case study of the total costs of private and public transport in Auckland,” Environ. Sci. Policy, vol. 9, no. 1, pp. 55–66, 2006, doi: http://dx.doi.org/10.1016/j.envsci.2005.09.001
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