Phenomena of Transportation to Work Mode Choice, Due to The Increase of Oil Prices in Indonesia: A Case Light Rail Transit Depot Project Office-Jakarta

Authors

  • Andreas Novi Kurniawan Universitas Mercu Buana
  • Andri Irfan Rifai Universitas Internasional Batam
  • Muhammad Rizal S. Directorate General of Highway, Ministry of Public Works & Housing, Indonesia

DOI:

https://doi.org/10.53866/jimi.v2i5.193

Keywords:

Increase fuel price, Transportation mode choice, Employees

Abstract

Fluctuations in world oil prices and subsidy reduction programs have increased the price of fuel oil in Indonesia. Such conditions affect the decision on transportation mode choice for everyone, and company employees are no exception. This paper aims to analyze the phenomenon of changes in transportation choices due to fuel increases. The method used is a questionnaire distributed to 100 respondents at the Jabodebek Light Rail Transit (LRT) Depo Project office. Data processing is done by using radar chart analysis with Microsoft Excel tools. The results of this study showed ten variables that had different levels of influence. There are three primary parameters: travel time, punctuality, and travel distance for men; travel distance, number of trips, and travel companions for women. So, the travel time parameter has the most significant influence on transportation mode choices for men, and the travel distance parameter has the most significant influence on transportation mode choices for women.

References

Anderson, M. K., Nielsen, O. A., & Prato, C. G. (2017). Multimodal route choice models of public transport passengers in the Greater Copenhagen Area. EURO Journal on Transportation and Logistics, 221-245.

Böcker, L., Van Amen, P., & Helbich, M. (2017). Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands. Transportation, 831-852.

Cats, O., Susilo, Y. O., & Reimal, T. (2017). The prospects of fare-free public transport: evidence from Tallinn. Transportation, 44(5), 1083-1104.

Chen, J., & Li, S. (2017). Mode choice model for public transport with categorized latent variables. Mathematical Problems in Engineering, 2017.

Chepuri, A., Wagh, A., Arkatkar, S. S., & Joshi, G. (2018). Study of travel time variability using two-wheeler probe data–an Indian experience. . In Proceedings of the Institution of Civil Engineers-Transport (Vol. 171, No. 4,, 190-206.

Currie, G., & De Gruyter, C. (2018). Exploring links between the sustainability performance of urban public transport and land use in international cities. Journal of Transport and Land Use , 325-342.

Dermawan, W. B., Rifai, A. I., Ramadhan, A. H., & Isradi, M. (2021). Analysis of Pedestrian Facility Services on Shopping Mall Areain Satellite City During Pandemic COVID-19. ADRI International Journal of Sciences, Engineering and Technology, 6(2), 99-107.

Ding, C., Wang, D., Liu, C., Zhang, Y., & Yang, J. (2017). Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance. Transportation Research Part A: Policy and Practice, 100.

Farda, M., & Lubis, H. A. (2018). Transportation system development and challenge in jakarta metropolitan area, indonesia. International Journal of Sustainable Transportation Technology, 1(2), 42-50.

Grechi, D., & Maggi, E. (2018). The importance of punctuality in rail transport service: an empirical investigation on the delay determinants. European Transport-Trasporti Europei, 70., 1-23.

Guo, Y., Wang, J., Peeta, S., & Anastasopoulos, P. C. (2018). Impacts of internal migration, household registration system, and family planning policy on travel mode choice in China. Travel Behaviour and Society, 128-143.

Hamilton, R., Ferraro, R., Haws, K. L., & Mukhopadhyay, A. (2021). Traveling with companions: The social customer journey. Journal of Marketing, 85(1), 68-92.

Harb, M., Xiao, Y., Circella, G., Mokhtarian, P. L., & Walker, J. L. (2018). Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment. Transportation, 45(6), 1671-1685.

Harun, M., Mat, S. H., Fadzim, W. R., Khan, S. J., & Noor, M. S. (2018). The effects of fuel subsidy removal on input costs of productions: Leontief input-output price model. International Journal of Supply Chain Management, 7(5), 529-534.

Haywood, L., Koning, M., & Monchambert, G. (2017). Crowding in public transport: Who cares and why? Transportation Research Part A: Policy and Practice, 100., 215-227.

Isradi, M., Farhan, M.N., Rifai, A.I., Mufhidin, A., & Prasetijo, J. (2021) Analysis of Passenger Satisfaction with LRT Jakarta Services Route Velodrome-Boulevard Utara, International Journal of Transportation and Infrastructure, pp 26-35

Jahidin, I., Daulay, H., & Saladin, I. (2020). The phenomenon of conventional transportation in the digital era (Case study of City Transport in Medan). . Technium Soc. Sci. J, 14, 601.

Kalghatgi, G., Levinsky, H., & Colket, M. (2018). Future transportation fuels. Prog. Energy Combust. Sci, 103-105.

Khan, M. F., & Rahman, M. J. (2021). Prospect and Challenges in Bangladesh Autogas Market. International Journal of Progressive Sciences and Technologies (IJPSAT), 187-192.

Li, X., Wang, Y., Wu, Y., Chen, J., & Zhou, J. (2021). Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks. Journal of Advanced Transportation, -.

Liu, Y., Bansal, P., Daziano, R., & Samaranayake, S. (2019). A framework to integrate mode choice in the design of mobility-on-demand systems. Transportation Research Part C : Emerging Technologies, 105; 648-665.

Massobrio, R., & Nesmachnow, S. (2020). Urban mobility data analysis for public transportation systems: a case study in Montevideo, Uruguay. Applied Sciences , 5400.

Prathyusha, C., Singh, S., & Shivananda, P. (2021). Strategies for sustainable, efficient, and economic integration of public transportation systems. Urban Science and Engineering, 157-169.

Prayudyanto, M. N. (2021). Model Buy The Services Angkutan Umum Massal Kota Metropolitan: Apakah Subsidi Masih Diperlukan? Jurnal Penelitian Transportasi Darat 23(1), 55-71.

Rakhmanto, P. A. (2022). Simulation of the Impacts of Fuel Pricing Policies towards Inflation in Indonesia. . Educational Research (IJMCER), 4(4), 24-31.

Rifai, A. I. (2021). How did the COVID-19 Pandemic Impact Passenger Choice toward Public Transport? The Case of Jakarta, Indonesia. Design Engineering, 6816 - 6824.

Rifai, A. I., Hadiwardoyo, S. P., Correia, A. G., & Pereira, P. A. (2016). Genetic Algorithm Applied for Optimization of Pavement Maintenance under Overload Traffic: Case Study Indonesia National Highway. Applied Mechanics and Materials (Vol. 845) (pp. 369-378). Trans Tech Publications Ltd.

Rifai, A. I., Hadiwardoyo, S. P., Correia, A. G., Pereira, P., & Cortez, P. (2015). The data mining applied for the prediction of highway roughness due to overloaded trucks. International Journal of Technology, 6(5), 751-761.

Shelat, S., Cats, O., & Van Lint, J. W. (2021). Quantifying travellers’ evaluation of waiting time uncertainty in public transport networks. Travel Behaviour and Society, 25, 209-222.

Silbaqolbina, Y. Z., & Najicha, F. U. (2022). Kebijakan Pemerintah Dalam Menaikkan Harga Bahan Bakar Minyak Serta Dampaknya Bagi Masyarakat. Jurnal Syntax Fusion, 2(06, 604-611.

Sun, X., & Wandelt, S. (2021). Transportation mode choice behavior with recommender systems: A case study on Beijing. Transportation research interdisciplinary perspectives, , 11.

Ton, D., Duives, D. C., Cats, O., Hoogendoorn-Lanser, S., & Hoogendoorn, S. P. (2019). Cycling or walking? Determinants of mode choice in the Netherlands. . Transportation research part A: policy and practice, 123, 7-23.

Tsami, M., & Nathanail, E. (2017). Guidance provision for increasing quality of service of public transport. Procedia Engineering, 551-557.

Widarjono, A. (2019). Asymmetric oil price pass-through to disaggregate consumer prices in emerging market: Evidence from Indonesia. . International Journal of Energy Economics and Policy, 670216917.

Yang, T., Zhang, D., & Guo, J. (2021). Study on the choice of transportation mode in Zheng-Jiao Transportation Corridor. In Journal of Physics: Conference Series, 012123.

Zhou, X., Yu, Z., Yuan, L., Wang, L., & Wu, C. (2020). Measuring accessibility of healthcare facilities for populations with multiple transportation modes considering residential transportation mode choice. ISPRS International Journal of Geo-Information, 9(6)., 394

Downloads

Published

2022-12-05

How to Cite

Kurniawan, A. N., Rifai, A. I., & Rizal S., M. (2022). Phenomena of Transportation to Work Mode Choice, Due to The Increase of Oil Prices in Indonesia: A Case Light Rail Transit Depot Project Office-Jakarta. Citizen : Jurnal Ilmiah Multidisiplin Indonesia, 2(5), 785–793. https://doi.org/10.53866/jimi.v2i5.193