Mode Shifting Probability of Working People to Angkot: Is there Any Hope for Angkot to Survive in Bandung City?

Lisna Rahayu

doi:10.5614/jpwk.2021.32.3.1

Authors

Lisna Rahayu Institut Teknologi Bandung

DOI:

https://doi.org/10.5614/jpwk.2021.32.3.1

Keywords:

Mode shifting, angkot, worker, binary logistic

Abstract

Bandung is one of Indonesia?s major cities, holding a strategic position as the center of the Bandung Metropolitan Area. The most dominant paratransit with the widest coverage in Bandung City is the angkot, a small four-wheeled vehicle (minibus) that has been modified for use as public transportation. As it stands currently, however, this paratransit service is inadequate and unreliable, and it has pushed people to use private vehicles to support their daily commute, which causes traffic congestion to worsen. Workers are the biggest traffic-generating group in Bandung city. Their regular commute pattern as well as their large proportion in Bandung city?s population (47.78% of the total population in 2020) make this group an important determinant in Bandung City?s transportation. Shifting the workers? mode of transportation from private to public transportation including the angkot is predicted to decrease traffic jams on some level. Through binary logistic regression, this study provides an analysis of mode shifting probability to the angkot, key factors that could be intervened to increase this shifting probability, as well as the extent to which intervention toward these factors will increase angkot usage so that it can provide a picture of future characteristics of the angkot in contrast to the current condition, should this transportation mode continue to run in the future. Based on the modeling result, the study identified four key variables that significantly influence mode shifting probability in Bandung City: 1) private vehicle ownership, 2) driving license ownership, 3) people?s perception of current transportation costs, and 4) people?s perception of the level of comfort provided by the mode of transportation. If in the future the angkot in Bandung City is improved with better comfort and affordability, approximately only 3.31% of workers will start using the angkot. This very low probability indicates that if in the future the government wants to shift working people from private vehicles to the angkot, then the angkot must be transformed.

Abstrak. Bandung merupakan salah satu kota besar di Indonesia yang memiliki posisi strategis sebagai pusat kawasan metropolitan. Paratransit yang paling dominan dengan jangkauan terluas di Kota Bandung adalah angkot, kendaraan roda empat kecil (minibus) yang telah dimodifikasi untuk digunakan sebagai transportasi umum. Namun, layanan paratransit ini tidak memadai dan tidak dapat diandalkan sehingga mendorong orang untuk menggunakan kendaraan pribadi dalam mendukung perjalanan sehari-hari, yang menyebabkan kemacetan lalu lintas semakin parah. Pekerja merupakan kelompok penghasil lalu lintas terbesar di kota Bandung. Pola komuter yang teratur serta proporsi penduduk kota Bandung yang besar (47,78% dari total penduduk pada tahun 2020) menjadikan kelompok ini sebagai determinan penting dalam transportasi Kota Bandung. Pergeseran moda transportasi pekerja dari angkutan pribadi ke angkutan umum termasuk angkot diprediksi dapat mengurangi kemacetan di beberapa tingkatan. Melalui regresi logistik biner, penelitian ini memberikan analisis probabilitas perpindahan moda ke angkot, faktor-faktor kunci yang dapat diintervensi untuk meningkatkan probabilitas perpindahan tersebut, serta sejauh mana intervensi terhadap faktor-faktor tersebut akan meningkatkan penggunaan angkot sehingga dapat memberikan gambaran karakteristik angkot di masa depan yang kontras dengan kondisi saat ini, dalam kasus moda transportasi ini tetap berjalan di masa yang akan datang. Berdasarkan hasil pemodelan, penelitian ini mengidentifikasi empat variabel kunci yang berpengaruh signifikan terhadap probabilitas perpindahan moda di Kota Bandung: 1) kepemilikan kendaraan pribadi, 2) kepemilikan SIM, 3) persepsi masyarakat terhadap biaya transportasi saat ini, dan 4) persepsi masyarakat terhadap tingkat kenyamanan yang diberikan oleh moda transportasi tersebut. Jika kedepannya angkot di Kota Bandung ditingkatkan dengan kenyamanan dan keterjangkauan yang lebih baik, kira-kira hanya 3,31% pekerja yang akan mulai menggunakan angkot. Probabilitas yang sangat rendah ini menunjukkan bahwa jika di masa depan pemerintah ingin memindahkan pekerja dari kendaraan pribadi ke angkot, maka angkot tersebut harus diubah.

Kata kunci. Pergeseran moda, angkot, pekerja, logistik biner.

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References

Abou-Zeid, M., & Ben-Akiva, M. (2011). The effect of social comparisons on commute well-being. Transportation Research Part A: Policy and Practice, 45(4), 345?361. https://doi.org/https://doi.org/10.1016/j.tra.2011.01.011

Abou-Zeid, M., & Ben-Akiva, M. (2012). Travel mode switching: Comparison of findings from two public transportation experiments. Transport Policy, 24, 48?59. https://doi.org/https://doi.org/10.1016/j.tranpol.2012.07.013

Abou-Zeid, M., & Scott, D. M. (2011). Current issues in mode choice modeling. Transportation, 38(4), 581. https://doi.org/10.1007/s11116-011-9340-2

Abou-Zeid, M., Witter, R., Bierlaire, M., Kaufmann, V., & Ben-Akiva, M. (2012). Happiness and travel mode switching: Findings from a Swiss public transportation experiment. Transport Policy, 19(1), 93?104. https://doi.org/https://doi.org/10.1016/j.tranpol.2011.09.009

Afalia, D. N., & Rachmat, S. Y. (2020). Built environment and parking pricing: Probability on changing mode choice in Bandung urban area. IOP Conference Series: Earth and Environmental Science, 592, 012003. https://doi.org/10.1088/1755-1315/592/1/012003

Arifwidodo, S. D. (2012). Exploring the effect of compact development policy to urban quality of life in Bandung, Indonesia. City, Culture and Society, 3(4), 303?311.

Bandung Statistics Agency. 2014. Bandung City in Figure 2014. Bandung: Badan Pusat Statistik Kota Bandung.

Batty, P., Palacin, R., & Gonzez-Gil, A. (2015). Challenges and opportunities in developing urban modal shift. Travel Behaviour and Society, 2(2), 109?123. https://doi.org/https://doi.org/10.1016/j.tbs.2014.12.001

Ben-Akiva, M., Mcfadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D. S., Daly, A., de Palma, A., Gopinath, D., Karlstrom, A., & Munizaga, M. A. (2002). Hybrid Choice Models: Progress and Challenges. Marketing Letters, 13(3), 163?175. https://doi.org/10.1023/A:1020254301302

Ben-Akiva, M., Morikawa, T., & Shiroishi, F. (1992). Analysis of the reliability of preference ranking data. Journal of Business Research, 24(2), 149?164. https://doi.org/https://doi.org/10.1016/0148-2963(92)90058-J

Bouwman, M. E., & Linden, G. J. J. (2004). Transportation planning and policy. In H. Voogd, & G. J. J. Linden (Eds.), Environmental and Infrastructure Planning (pp. 277 - 296). Geo Pers.

Cervero, R., & Golub, A. (2007). Informal transport: A global perspective. Transport Policy, 14(6), 445?457. https://EconPapers.repec.org/RePEc:eee:trapol:v:14:y:2007:i:6:p:445-457

Dickinson, J. E., & Dickinson, J. A. (2006). Local Transport and Social Representations: Challenging the Assumptions for Sustainable Tourism. Journal of Sustainable Tourism, 14(2), 192?208. https://doi.org/10.1080/09669580608669052

Ettema D., Friman M., Gling T., Olsson L.E. (2016) Travel Mode Use, Travel Mode Shift and Subjective Well-Being: Overview of Theories, Empirical Findings and Policy Implications. In: Wang D., He S. (eds) Mobility, Sociability and Well-being of Urban Living. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48184-4_7

Farda, M., & Balijepalli, C. (2018). Exploring the effectiveness of demand management policy in reducing traffic congestion and environmental pollution: Car-free day and odd-even plate measures for Bandung city in Indonesia. Case Studies on Transport Policy, 6(4), 577?590. https://doi.org/https://doi.org/10.1016/j.cstp.2018.07.008

Ferguson, E. (2000). Travel Demand Management and Public Policy (1st ed.). Routledge.

https://doi.org/10.4324/9781315204611

Hassan, S, et al. (2016). Evaluation of Buses and Cars as Transportation Modeto Workplace. Proceedings of the 3rd International Conference on Civil Engineering for Sustainable Development (ICCESD 2016), 12~14 February 2016, KUET, Khulna, Bangladesh (ISBN: 978-984-34-0265-3)

Indonesian Government Regulation No. 26/2008.

Ison, S., & Rye, T. (2008). The Implementation and Effectiveness of Transport Demand Management Measures: An International Perspective. Hampshire: Ashgate Publishing Limited

Joewono, T. B., & Kubota, H. (2005). The Characteristics of Paratransit and Non-Motorized Transport in Bandung, Indonesia. Journal of the Eastern Asia Society for Transportation Studies, 6, 262?277. https://doi.org/10.11175/easts.6.262

Joewono, T.B., & Kubota, H. (2008). Paratransit Service in Indonesia: User Satisfaction and Future Choice. Transportation Planning and Technology, 31(3), 325?345. https://doi.org/10.1080/03081060802087692

Kingham, S., Dickinson, J., & Copsey, S. (2001). Travelling to work: will people move out of their cars. Transport Policy, 8(2), 151?160. https://doi.org/https://doi.org/10.1016/S0967-070X(01)00005-1

Knowles, R.D., Shaw, J. and Docherty, I. (Eds.) (2008) Transport Geographies: Mobilities, Flows and Spaces. Blackwell Publishing: Malden, MA, USA. ISBN 9781405153225

Kumar, C., & Ganguly, A. (2018). Travelling Together but Differently: Comparing Variations in Public Transpit User Mode Choice Attributes Across Newdelhi and Newyork. Theoretical and Empirical Researches in Urban Management Volume 13 Issue 3.

Li, G., Zhang, J., Nugroho, S. B., Linh, T. N., & Fujiwara, A. (2011). Analysis of Paratransit Drivers? Stated Job Choice Behavior under Various Policy Interventions Incorporating the Influence of Captivity: A Case Study in Jabodetabek Metropolitan Area, Indonesia. Proceedings of the Eastern Asia Society for Transportation Studies, 2011, 215. https://doi.org/10.11175/eastpro.2011.0.215.0

Mquez, L., Pico, R., & Cantillo, V. (2018). Understanding captive user behavior in the competition between BRT and motorcycle taxis. Transport Policy, 61, 1?9. https://doi.org/https://doi.org/10.1016/j.tranpol.2017.10.003

Nurden, A., Rahmat, R. A. O. K., & Ismail, A. (2007). Effect of Transportation Policies on Modal Shift from Private Car to Public Transport in Malaysia. Journal of Applied Sciences 7(7): 1014-1018, 2007. ISSN 1812-5654.

Ortuzar, J. D., & Willumsen, L. G. (2011). Modelling Transport: Fourth Edition. West Sussex. John Wiley and Sons, Ltd.

Peranginangin, Y., Andi, A., & Sisilia, K. (2018). Route Recommendation Using Community Detection Algorithm (Case: Kota Bandung). 2018 6th International Conference on Information and Communication Technology (ICoICT), 113?118. https://doi.org/10.1109/ICoICT.2018.8528740

Phun, V. K., Kato, H., & Chalermpong, S. (2019). Paratransit as a connective mode for mass transit systems in Asian developing cities: Case of Bangkok in the era of ride-hailing services. Transport Policy, 75, 27?35. https://doi.org/https://doi.org/10.1016/j.tranpol.2019.01.002

Pindarwati, A., & Wijayanto, A. W. (2015). Measuring performance level of smart transportation system in big cities of Indonesia comparative study: Jakarta, Bandung, Medan, Surabaya, and Makassar. 2015 International Conference on Information Technology Systems and Innovation (ICITSI), 1?6. https://doi.org/10.1109/ICITSI.2015.7437716

Prasetiyowati, S. S., Sibaroni, T., & Prabangkara, D. (2018). The Prediction of Optimal Route of City Transportation Based on PasseengerPassenger Occupancy using Genetic Algorithm: A Case Study in the City of Bandung. Telkomnika 16 (3). http://dx.doi.org/10.12928/telkomnika.v16i3.7077

Rabl, A., & de Nazelle, A. (2012). Benefits of shift from car to active transport. Transport Policy, 19(1), 121?131. https://doi.org/https://doi.org/10.1016/j.tranpol.2011.09.008

Riandiatmi, O. and Joewono, T.B. (2018). Persepsi Pengguna Terhadap Angkutan Online di Kota Bandung. Jurnal Transportasi Vol. 18 No. 3 DesemberDecember 2018: 153-160.

https://doi.org/10.26593/jtrans.v18i3.3151.153-160

Saleh, W., & Sammer, G. (2009). Travel Demand Management and Road User Pricing: Success, Failure and Feasibility. England: Ashgate Publishing Limited.

Santoso, G. A., Maulina, D., Adystia, C., & Oei, T. P. (2013). The influence of number of passengers and music genre on driving speed of young adult angkot drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 18, 1?10. https://doi.org/https://doi.org/10.1016/j.trf.2012.12.001

Satiennam, T., Jaensirisak, S., Satiennam, W., & Detdamrong, S. (2016). Potential for modal shift by passenger car and motorcycle users towards Bus Rapid Transit (BRT) in an Asian developing city. IATSS Research, 39(2), 121?129. https://doi.org/https://doi.org/10.1016/j.iatssr.2015.03.002

Sopha, B. M., & Pamungkas, A. R. (2016). High fuel price: Will Indonesian shift to public transportation? AIP Conference Proceedings, 1737(1), 030008. https://doi.org/10.1063/1.4949288

Susilo, Y. O., Santosa, W., Joewono, T. B., & Parikesit, D. (2007). A Reflection of Motorization and Public Transport in Jakarta Metropolitan Area. IATSS Research, 31(1), 59?68. https://doi.org/https://doi.org/10.1016/S0386-1112(14)60184-9

Sutandi, A.C., & Novaliya. (2009). The Effect of Side Friction Reduction to the Performance of Unsignalized Intersection (Case Study in Bandung, Indonesia). ITS Journal of Civil Engineering Vol. 29 No.2.

Syafriharti, R., Kombaitan, B., Kusumantoro, I. P., & Syabri, I. (2018). Characteristics of Population, Employment, and Paratransit Service as Factors That Influence Paratransit Ridership: The Case in Bandung City. IOP Conference Series: Materials Science and Engineering, 407, 012145. https://doi.org/10.1088/1757-899x/407/1/012145

Tamin, O. Z. (2000). Perencanaan dan Pemodelan Transportasi. Bandung. Penerbit ITB

Tamin, O.Z. (1996). Simplified Public Transport Route Planning Method: A Case Study in Bandung (Indonesia). Journal of Civil Engineering ITB, No 010 pp. 1?-13, ISSN: 0853-2982.

Tolley. R., & Turton, B. (1995). Transport Systems, Policy and Planning: A Geographical Approach. Singapore: Longman Singapore Publisher (Pte) Ltd.

Tu, Q., Weng, J. C., & Yuan, R. L,. (2016). Impact Analysis of Public Transport Fare Adjustment on Travel Mode Choice for Travelers in Beijing. 16th COTA International Conference of Transportation Professionals. https://doi.org/10.1061/9780784479896.078

van Acker, V., van Wee, B., & Witlox, F. (2010). When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour. Transport Reviews, 30(2), 219?240. https://doi.org/10.1080/01441640902943453

van der Waerden, P., Timmermans, H., & Berenos, M. (2008). Trip Characteristics and Travelers? Willingness to Change Transport Mode in Favor of Public Transport. Transport Planning Research Colloquium 20 and November 21, 2008, Santpoort.

van Wee, B., Annema, J. A., & Banister, D. (2013). The Transport System and Transport Policy: An Introduction. Glos: Edward Elgar Publishing Limited.

Wei, L., Gao, W., & Li, C.-B. (2018). Supply And Demand Structure Non-equilibrium Model of City Agglomeration Transportation System. Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017), 1127?1131. https://doi.org/https://doi.org/10.2991/ifeesm-17.2018.206

Wibowo, S. S., Tanan, N., & Tinumbia, N. (2015). Walkability Measures for City Area in Indonesia (Case Study of Bandung). Journal of the Eastern Asia Society for Transportation Studies, 11, 1507?1521. https://doi.org/10.11175/easts.11.1507

Wijaya S.E., & Imran, M. (2019) Transport Policies and Planning in Bandung. In: Moving the Masses: Bus-Rapid Transit (BRT) Policies in Low Income Asian Cities. Springer, Singapore. https://doi.org/10.1007/978-981-13-2938-8_4

Yuana, S. L., Sengers, F., Boon, W., & Raven, R. (2019). Framing the sharing economy: A media analysis of ridesharing platforms in Indonesia and the Philippines. Journal of Cleaner Production, 212, 1154?1165. https://doi.org/https://doi.org/10.1016/j.jclepro.2018.12.073