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Socio-economic Factors Affecting the Choice of Transportation Mode in Jakarta Metropolitan Area

*Rizky Maulana  -  Universitas Indonesia, Indonesia
Muhammad Halley Yudhistira  -  Universitas Indonesia, Indonesia

Citation Format:
This study aims to analyze the effect of socio-economic factors on the choice of transportation mode. The socio-economic variables used in this study are income, education, sex, employment sector, motorcycle ownership, car ownership, city of origin, commuting distance, and a number of commuters in a household. The object of this study is a commuter worker in Jakarta Metropolitan Area. One of the main problems in JMA is traffic congestion. Recent studies stated that public transportation able to decrease the problem of congestion. However, for some reason, the commuters of JMA are reluctant to use it. With the 2014 Jabodetabek commuter survey, we obtain a result that eight of nine socio-economic variables used in this study are statistically significant. We use a multinomial logit method to estimate the model.
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Keywords: commuter; transportation mode choice; public transportation

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  1. Amoh-Gyimah, R., & Aidoo, E. N. (2013). Mode of transport to work by government employees in the Kumasi metropolis, Ghana. Journal of Transport Geography, 31, 35–43
  2. Anik, M. A. H., Ahmed, F., Atin, F. N., Ahmed, N. T., Mutsuddy, A., Al Imran, M., Haque, N., Zihan, T., & Rayhan, R. (2018). Motivating Factors for Private Car Users to Use Public Transport. International Journal for Traffic and Transport Engineering, 8(1), 82–98
  3. Ashalatha, R., Manju, V. S., & Zacharia, A. B. (2013). Mode choice behavior of commuters in Thiruvananthapuram city. Journal of Transportation Engineering, 139(5), 494–502
  4. Badan Pusat Statistik. (2019). Statistik Komuter Jabodetabek
  5. Borhan, M. N., Hakimi Ibrahim, A. N., Syamsunur, D., & Rahmat, R. A. (2019). Why public bus is a less attractive mode of transport: A case study of Putrajaya, Malaysia. Periodica Polytechnica Transportation Engineering, 47(1), 82–90
  6. Burian, J., Zajíčková, L., Ivan, I., & Macků, K. (2018). Attitudes and motivation to use public or individual transport: A case study of two middle-sized cities. Social Sciences, 7(6)
  7. Chotib, C. (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), 142–156
  8. Cumming, I., Weal, Z., Afzali, R., Rezaei, S., & Idris, A. O. (2019). The impacts of office relocation on commuting mode shift behaviour in the context of Transportation Demand Management (TDM). Case Studies on Transport Policy, 7, 346–356
  9. Gujarati, D. N. (2003). Basic Econometrics (4th ed.). McGraw-Hill
  10. Harmadi, S. H. B., Yudhistira, M. H., & Koesrindarto, D. P. (2015). HOW DOES CONGESTION MATTER FOR JAKARTA’S CITIZENS? Journal of Indonesian Economy and Business, 30(3), 220–239
  11. Jia, N., Li, L., Ling, S., Ma, S., & Yao, W. (2018). Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China. Transportation Research Part A, 111, 108–118
  12. Ko, J., Lee, S., & Byun, M. (2019). Exploring factors associated with commute mode choice: An application of city-level general social survey data. Transport Policy, 75, 36–46
  13. Liu, G. (2007). A behavioral model of work-trip mode choice in Shanghai. China Economic Review, 18(4), 456–476
  14. Loo, L. Y. Le, Corcoran, J., Mateo-Babiano, D., & Zahnow, R. (2015). Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia. Journal of Transport Geography, 46, 99–111
  15. Luo, Q. Y., Juan, Z. C., & Jia, H. F. (2007). Measuring the external costs of Urban traffic congestion. International Conference on Transportation Engineering 2007, ICTE 2007
  16. 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
  17. Mattisson, K., Idris, A. O., Cromley, E., Hakansson, C., Ostergren, P.-O., & Jakobsson, K. (2018). Modelling the association between health indicators and commute mode choice: a cross-sectional study in southern Sweden. Journal of Transport & Health, 11, 110–121
  18. Mayo, F. L., & Taboada, E. B. (2019). Ranking factors affecting public transport mode choice of commuters in an urban city of a developing country using analytic hierarchy process : The case of Metro Cebu , Philippines. Transportation Research Interdisciplinary Perspectives, 100078
  19. Meena, S., Patil, G. R., & Mondal, A. (2019). Understanding mode choice decisions for shopping mall trips in metro cities of developing countries. Transportation Research Part F: Traffic Psychology and Behaviour, 64, 133–146
  20. Nadi, P. A., & Murad, A. K. (2019). Modelling sustainable urban transport performance in the Jakarta city Region: A GIS approach. Sustainability (Switzerland)
  21. Nadrian, H., Taghdisi, M. H., Pouyesh, K., Khazaee-Pool, M., & Babazadeh, T. (2019). “I am sick and tired of this congestion”: Perceptions of Sanandaj inhabitants on the family mental health impacts of urban traffic jam. Journal of Transport and Health, 100587
  22. Pindyck, R. S., & Rubinfeld, D. L. (2013). Microeconomics (8th ed.). Pearson
  23. Sekhar, C. (2016). Commuter’s sensitivity in mode choice: An empirical study of New Delhi. Journal of Transport Geography, 57, 207–217
  24. Setyodhono, S. (2017). Faktor yang Mempengaruhi Pekerja Komuter di Jabodetabek Menggunakan Moda Transportasi Utama. Warta Penelitian Perhubungan, 29(1), 21–31
  25. Thrane, C. (2015). Examining tourists’ long-distance transportation mode choices using a Multinomial Logit regression model. Tourism Management Perspectives, 15, 115–121
  26. Van, H. T., Choocharukul, K., & Fujii, S. (2014). The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries. Transportation Research Part A, 69, 36–44
  27. Yang, X., Day, J. E., Langford, B. C., Cherry, C. R., Jones, L. R., Han, S. S., & Sun, J. (2017). Commute responses to employment decentralization: Anticipated versus actual mode choice behaviors of new town employees in Kunming, China. Transportation Research Part D, 52, 454–470

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