Main Article Content
Abstract
Purpose: This study aims to analyze the potential impact of fuel price increases on economic conditions and public transportation consumption patterns in Bandung City, an urban area characterized by high mobility and transportation demand.
Research Method: The study employed a descriptive qualitative approach using library research. Data were collected from peer-reviewed journal articles, policy documents, government reports, and statistical publications related to fuel pricing, inflation, transportation costs, mobility behavior, and public transportation. The literature was analyzed using content and comparative analysis techniques.
Results and Discussion: The reviewed literature indicates that fuel price increases are associated with inflationary pressures, rising transportation costs, and changes in household expenditure allocation. In urban contexts, increasing fuel prices may encourage behavioral adaptation through more selective travel decisions, improved mobility efficiency, and greater consideration of public transportation alternatives. Bandung’s urban characteristics suggest that these impacts are particularly relevant due to its intensive transportation activities.
Implications: The findings provide insights for policymakers in designing transportation and energy policies that support affordability, accessibility, and sustainable urban mobility. Future studies should use primary data to measure behavioral changes among Bandung residents directly.
Originality: This study offers an integrated conceptual analysis of the relationship between fuel price increases, urban economic pressures, and public transportation consumption patterns within the specific context of Bandung City.
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References
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- Ulahannan, A., & Birrell, S. (2022). Designing better public transport: understanding mode choice preferences following the COVID-19 pandemic. Sustainability, 14(10), 5952. https://doi.org/10.3390/su14105952
- Wang, Z., Weng, G., Li, J., & Wang, C. (2026). The Mechanism of Digital – Real Integration Empowering Tourism Ecological Efficiency : Evidence from the Taihang Mountains in China. Sustainability, 18(12), 1–44. https://doi.org/10.3390/su18126260
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- Zahari, T. N., & McLellan, B. C. (2024). Sustainability of Indonesia’s transportation sector energy and resources demand under the low carbon transition strategies. Energy, 311, 133385. https://doi.org/https://doi.org/10.1016/j.energy.2024.133385
References
Ahmad, M., Anwer, I., Yousuf, M. I., Javid, M. A., Ali, N., Tesoriere, G., & Campisi, T. (2024). Investigating the key factors affecting public transport ridership in developing countries through structural equation modeling. Sustainability, 16(11), 4426. https://doi.org/10.3390/su16114426
Al-lami, A., Török, A., Alatawneh, A., & Alrubaye, M. (2025). Future energy consumption and economic implications of transport policies: A scenario-based analysis for 2030 and 2050. Energies, 18(12), 3012. https://doi.org/10.3390/en18123012
Al Izzati, R., Yusrina, A., & Suryahadi, A. (2023). Estimating the effect of a fuel price increase on poverty and inequality: Evidence from a fuel subsidy reduction in Indonesia. Research Note 1/JAN/2023. SMERU Research Institute, Jakarta.
Alves, A., & da Costa, N. M. (2024). Changes in fuel prices and the use of public transport: insights from the European Union following the Invasion of Ukraine. European Journal of Geography, 15(4), 232–243. https://doi.org/10.48088/ejg.a.alv.15.4.232.243
An, C., & Shen, J. (2025). Assessing the impact of Mobility-as-a-Service (MaaS) on sustainable urban travel behaviors: a systematic literature review. Frontiers in Sustainable Cities, Volume 7-2025. https://doi.org/10.3389/frsc.2025.1645488
Argueyrolles, R., Heimann, T., & Delzeit, R. (2025). Impact of gasoline and diesel subsidy reforms on global biofuel mandates. GCB Bioenergy, 17(2), e70019. https://doi.org/10.1111/gcbb.70019
Bambe, B. W. W., Habib, C. B., & Peregalli, J. M. (2024). Fuel Subsidy Reforms: Lessons from the Literature and Assessing the Price Shock for Different Sectors through an Input-Output Table in the Case of Angola (Policy Research Working Paper Series, Issue 10939). The World Bank. https://econpapers.repec.org/RePEc:wbk:wbrwps:10939
Baudains, P., Kalatian, A., Choudhury, C. F., & Manley, E. (2024). Social inequality and the changing patterns of travel in the pandemic and post-pandemic era. Journal of Transport Geography, 118, 103923. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2024.103923
Belloc, I., Gimenez-Nadal, J. I., & Molina, J. A. (2024). The gasoline price and the commuting behavior of US commuters: Exploring changes to green travel mode choices. Journal of Transport Geography, 121, 104006. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2024.104006
Bouzaghrane, M. A., Obeid, H., González, M., & Walker, J. (2024). Human mobility reshaped? Deciphering the impacts of the Covid-19 pandemic on activity patterns, spatial habits, and schedule habits. EPJ Data Science, 13(1), 24. https://doi.org/10.1140/epjds/s13688-024-00463-4
Christidis, P., Vega Gonzalo, M., Ulpiani, G., & Vetters, N. (2023). Post-pandemic trends in urban mobility. Publications Office of the European Union.
Collazos, J. S. G., Ardila, L. M. C., & Cardona, C. J. F. (2024). Energy transition in sustainable transport: concepts, policies, and methodologies. Environmental Science and Pollution Research, 31(49), 58669–58686. https://doi.org/10.1007/s11356-024-34862-x
Fan, M., Qi, J., Zheng, X., Shang, H., & Kan, J. (2024). A study on commuters’ public transportation mode choice behavior in river valley-type cities considering terrain spatial perception: evidence from Lanzhou, China. Scientific Reports, 14(1), 13237. https://doi.org/10.1038/s41598-024-64062-z
He, H., & Kim, C. (2024). Reproducibility Package for Vehicle and Fuel Taxation for Transport Demand Management: Learnings from the Literature through a Development Lens [supporting dataset]. Policy Research Working Papers, 10647. https://doi.org/10.60572/3wek-tf84
Hubert, L. (2025). The Energy Transition’s Impact on Transport Sector Sustainability: Opportunities and Challenges for Businesses. https://urn.fi/URN:NBN:fi-fe2025092698525
Kunthi, Y. C., Syofyan, S., & Sirait, K. H. (2023). Impact of Fuel Oil Pricing Policy on Inflation. European Proceedings of Social and Behavioural Sciences. https://doi.org/10.15405/epsbs.2023.11.02.14
Rahman, M. M., Rahman, S. M., Shafiullah, M., Hasan, M. A., Gazder, U., Al Mamun, A., Mansoor, U., Kashifi, M. T., Reshi, O., & Arifuzzaman, M. (2022). Energy demand of the road transport sector of Saudi arabia—application of a causality-based machine learning model to ensure sustainable environment. Sustainability, 14(23), 16064. https://doi.org/10.3390/su142316064
Ranjan, R., & Sinha, S. (2025). A systematic review of mode choice behavior in urban transportation with emphasis on individual preferences and influencing factor. Discover Cities, 2(1), 98. https://doi.org/10.1007/s44327-025-00138-3
Setyanti, A. M., & Harsa, M. F. (2026). Revisiting the Inflationary Impact of Fuel Subsidies: Insights from Indonesia’s Exposure to Global Oil Price and Exchange Rate Risks. Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara Dan Kebijakan Publik, 11(1), 1–13. https://doi.org/10.33105/itrev.v11i1.1394
Stokenberga, A., Ivarsson, E., & Fulponi, J. I. (2023). The COVID-19 Mark on Urban Mobility.
Suraharta, I. M., & Hendrasti, A. (2025). The Effects of Rising Fuel Prices on Logistic Costs in Emerging Markets. The Journal of Academic Science, 2(6), 1678–1687. https://doi.org/10.59613/12zvem38
Tejaswi, S. P., Balijepalli, C., & Prasad, C. (2024). Revealing commute choice factors: SEM analysis of public transport and active modes in Hyderabad, India. Journal of Urban Planning and Development, 150(3), 4024026. https://doi.org/10.1061/jupddm.upeng-5022
Ulahannan, A., & Birrell, S. (2022). Designing better public transport: understanding mode choice preferences following the COVID-19 pandemic. Sustainability, 14(10), 5952. https://doi.org/10.3390/su14105952
Wang, Z., Weng, G., Li, J., & Wang, C. (2026). The Mechanism of Digital – Real Integration Empowering Tourism Ecological Efficiency : Evidence from the Taihang Mountains in China. Sustainability, 18(12), 1–44. https://doi.org/10.3390/su18126260
Wang, Z., Yang, Y., Yao, E., Zhu, Y., & Rao, Z. (2022). An analysis of commute mode choice behavior considering the impacts of built environment in Beijing. Transportation Letters, 14(7), 733–739. https://doi.org/10.1080/19427867.2021.1938908
Zahari, T. N., & McLellan, B. C. (2024). Sustainability of Indonesia’s transportation sector energy and resources demand under the low carbon transition strategies. Energy, 311, 133385. https://doi.org/https://doi.org/10.1016/j.energy.2024.133385