DETERMINANT ANALYSIS OF TRAVEL MODE CHOICE WITHIN THE CAMPUS AREA AFTER THE LAUNCH OF TRANS CAMPUS IN BANDA ACEH, INDONESIA

Authors

  • Juliana Fisaini Universitas Syiah Kuala
  • Fadhlullah Apriandy Departemen Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala, Kota Banda Aceh, Provinsi Aceh
  • Kamalia Kamalia Dinas Perhubungan Provinsi Aceh, Banda Aceh, Indonesia
  • Lulusi Lulusi Departemen Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala, Kota Banda Aceh, Provinsi Aceh

DOI:

https://doi.org/10.35814/d7rsjw43

Keywords:

mode choice, discrete choice modelling, public transportation, travel behavior

Abstract

The use of discrete choice models has been widely applied to support the understanding of individuals' travel behavior in selecting transportation modes. The introduction of new public transportation modes (such as Trans Campus) in educational areas is believed to increase the likelihood of individuals shifting from private vehicles to public transport. This study aims to understand travel behavior patterns by identifying factors influencing individuals' mode choice decisions and measuring the probability of shifting from private vehicles to public transport for short-distance trips. Data collection was conducted using a Revealed Preference (RP) survey with questionnaires. The questionnaires were distributed directly by surveyors and through Google Forms shared via email and social media. A binomial logit model was employed to evaluate the variables influencing mode choice in the campus area, specifically the shift from private vehicles to Trans Campus. The result indicates that gender, age, vehicle ownership status, household income, driver's license ownership, travel time, daily Mode of travel, travel time, safety, and ease of access significantly affect transportation mode choice in the university area.

References

Trouve, M., Lesteven, G., & Leurent, F. (2020). Worldwide investigation of private motorization dynamics at the metropolitan scale. Transportation Research Procedia, 48, 3413-3430

Böhm, M., Nanni, M., & Pappalardo, L. (2022). Gross polluters and vehicle emissions reduction. Nature Sustainability, 5(8), 699-707

Azimi, G., Rahimi, A., Lee, M., & Jin, X. (2021). Mode choice behavior for access and egress connection to transit services. International Journal of Transportation Science and Technology, 10(2), 136-155.).

Le, J., & Teng, J. (2023). Understanding influencing factors of travel mode choice in urban-suburban travel: a case study in Shanghai. Urban Rail Transit, 9(2), 127-146.).

Nishi, T., & Hara, Y. (2023). Discrete-Choice Model with Generalized Additive Utility Network. arXiv preprint arXiv:2309.16970.).

Lodi, C., Marin, G., Polidori, P., & Teobaldelli, D. (2024). Students’ commuting habits to the university: Transportation choices during the Covid-19 era. Case Studies on Transport Policy, 17. https://doi.org/10.1016/j.cstp.2024.101217).

Nayum, A., & Nordfjærn, T. (2021). Predictors of public transport use among university students during the winter: A MIMIC modelling approach. Travel behaviour and society, 22, 236-243.

Masoumi, H. E. (2019). A discrete choice analysis of transport mode choice causality and perceived barriers of sustainable mobility in the MENA region. Transport policy, 79, 37-53.

Hair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper saddle

River, New Jersey: Pearson Education International.

Puan, O. C., Hassan, Y. A. H., Mashros, N., Idham, M. K., Hassan, N. A., Warid, M. N. M., & Hainin, M. R. (2019, May). Transportation mode choice binary logit model: A case study for Johor Bahru city. In IOP conference series: Materials science and engineering (Vol. 527, No. 1, p. 012066). IOP Publishing.)

Downloads

Published

2026-05-10

How to Cite

DETERMINANT ANALYSIS OF TRAVEL MODE CHOICE WITHIN THE CAMPUS AREA AFTER THE LAUNCH OF TRANS CAMPUS IN BANDA ACEH, INDONESIA. (2026). Jurnal Infrastruktur , 12(1), 51-56. https://doi.org/10.35814/d7rsjw43