Factors associated with choice of transportation mode among students commuting to school in Jabodetabek, Indonesia
Downloads
Over the past decade (2010–2020), the journeys made by students in the Jakarta Metropolitan Area to and from school have predominantly relied on private transportation. To address the persistent issue of traffic congestion, this study focuses on identifying the characteristics of student commuters and exploring strategies to shift their transportation preferences from private transportation to sustainable mass public transit options. A binary logistic regression analysis was conducted to examine the influence of individual-level variables on students' mode of transportation choices. The findings reveal that 67% of student commuters opted for private transportation, while 33% used public transportation. Students' preference for public transit was significantly associated with factors such as gender, education level, travel distance, commute duration, and cost. To inform policy formulation, the study highlights the importance of implementing push-and-pull strategies. These include discouraging the use of private transportation and promoting public transportation or school buses. Such programs aim to encourage a shift towards more sustainable and efficient modes of mobility among students.
Downloads
Badan Pusat Statistik. (2019). Statistik Komuter Jabodetabek Hasil Survei Komuter Jabodetabek 2019. Jakarta: Badan Pusat Statistik.
Bringolf-Isler, B., Grize, L., Mäder, U., Ruch, N., Sennhauser, F. H., Braun-Fahrländer, C., and Team, S. (2007). Personal and environmental factors associated with active commuting to school in Switzerland. Preventive Medicine. 46(1):67-73. https://doi.org/10.1016/j.ypmed.2007.06.015
Chotib. (2019). Analisis Pemilihan Moda Angkutan Umum atau Pribadi Pekerja Mobilitas Non-Permanen di Sepuluh Wilayah Metropolitan Indonesia. Journal of Regional and Rural Development Planning. 3(2). https://doi.org/http://dx.doi.org/10.29244/jp2wd.2019.3.2.142-156
Chotib. (2020). Spatial Distance and Mode of Transportation Choices in Jabodetabek Metropolitan Area: A Sakernas 2017 Micro-Data Analysis on Commuting Pattern of Workers. IOP Conference Series: Earth and Environmental Science, 436(1). https://doi.org/10.1088/1755-1315/436/1/012021
De Witte, A., Hollevoet, J., Dobruszkes, F., Hubert, M., and Macharis, C. (2013). Linking modal choice to motility: A comprehensive review. Transportation Research Part A, 49:329–341. https://doi.org/10.1016/j.tra.2013.01.009
Henning, E., Ferreira Schubert, T., and Ceccatto Maciel, A. (2020). Modelling of University Student Transport Mode Choice in Joinville: A Binary Logistic Model for Active Modes. Journal of Sustainable Development of Energy, Water and Environment Systems, 8(4):678–691. https://doi.org/10.13044/j.sdewes.d7.0303
Hu, X., Zhao, L., and Wang, W. (2015). Impact of perceptions of bus service performance on mode choice preference. Advances in Mechanical Engineering, 7(3):1–11. https://doi.org/10.1177/1687814015573826
Indriany, S., Widyantoro, A., and W, I. W. (2019). Analisis Pemilihan Moda Dengan Model Multinomial Logit Untuk Perjalanan Kerja Dari Kota Tangerang Selatan-Dki Jakarta. Portal: Jurnal Teknik Sipil, 10(1):24–32. https://doi.org/10.30811/portal.v10i1.972
Irfan, M. A., and Nooraeni, R. (2021). Karakteristik Pekerja Komuter Perempuan Yang Mengalami Perjalanan Durasi Panjang Jabodetabek 2019. Seminar Nasional Official Statistics, 2020(1):682–694. https://doi.org/10.34123/semnasoffstat.v2020i1.472
Irjayanti, A. D., Sari, D. W., & Rosida, I. (2021). Perilaku Pemilihan Moda Transportasi Pekerja Komuter: Studi Kasus Jabodetabek. Jurnal Ekonomi Dan Pembangunan Indonesia, 21(2), 125–147. https://doi.org/10.21002/jepi.v21i2.1340
LAN RI. (2015). Modul Pelatihan Analis Kebijakan. Jakarta: Pusaka Lembaga Administrasi Negara RI.
Maharani Raijaya, I. G. A. . K., & Chotib, C. (2020). The Dilemma of the Choice Between: Public Transportation or Private Transportation. Case Study: Sarbagita Metropolitan Area. Proceedings of 3rd International Conference on Strategic and Global Studies, 169–178. https://doi.org/10.4108/eai.6-11-2019.2297267
Mansyur, U. (2009). Transportation Management Model of Sustainable Non-Bus Passenger Public Transport in Makassar City. Forum Pascasarjana, 32: 227–237.
Nayka, S., and Sridhar, K. (2019). Determinants of intra urban mobility?: a study of Bengaluru. Bangalore: The Institute for Social and Economic Change.
Pongprasert, P., and Kubota, H. (2017). Switching from motorcycle taxi to walking: A case study of transit station access in Bangkok, Thailand. IATSS Research, 41(4):182–190. https://doi.org/10.1016/j.iatssr.2017.03.003
Purwoko, B. A., Chotib, and Yola, L. (2022). Willingness To Modal Shift From Private To Public Transportation in Jakarta Metropolitan Area. Planning Malaysia, 20(2):22–34. https://doi.org/10.21837/pm.v20i21.1089
Purwoko, B. A., and Yola, L. (2022). Strategi Integrasi Layanan Transportasi di Stasiun Kereta Api Bekasi Pasca Pandemic Covid-19. 20(1). https://planningmalaysia.org/index.php/pmj/article/view/1089/779
Ravi Sekhar, C. (2014). Mode Choice Analysis: The Data, the Models and Future Ahead. International Journal for Traffic and Transport Engineering (IJTTE), 4(3):269-285. https://doi.org/10.7708/ijtte.2014.4(3).03
Setyodhono, S. (2017). Faktor yang Mempengaruhi Pekerja Komuter di Jabodetabek Menggunakan Moda Transportasi Utama. Warta Penelitian Perhubungan, 29(1):21. https://doi.org/10.25104/warlit.v29i1.326
Tini Utami. (2021). Kesiapan Sumber Daya Manusia (Sdm) Dalam Menunjang Transportasi Laut Di Era Digital. Logistik, 3(1): 120–122.
van Smeden, M., Moons, K. G. M., de Groot, J. A. H., Collins, G. S., Altman, D. G., Eijkemans, M. J. C., and Reitsma, J. B. (2019). Sample size for binary logistic prediction models: Beyond events per variable criteria. Statistical Methods in Medical Research, 28(8):2455–2474. https://doi.org/10.1177/0962280218784726
Wati, A. D. A., and Khikmah, L. (2020). Modeling Spatial Error Model (SEM) On Human Development Index (IPM) In Central Java 2018. Journal of Intelligent Computing and Health Informatics, 1(2): 48. https://doi.org/10.26714/jichi.v1i2.6341
Zhou, J. (2014). Related papers From better understandings to proactive actions: Housing location and commuting mode choices among university students. Transport Policy, 33:166-175. https://doi.org/10.1016/j.tranpol.2014.03.004
Copyright (c) 2025 Budi Aji Purwoko
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
