Analysis of intercity bus public transport safety perception modeling using conjoint

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.239255

Keywords:

modeling, bus, intercity, transportation, safety, traffic, conjoint analysis, accident, perception, respondents

Abstract

Public transport safety is still an issue that needs to be studied by bureaucrats and researchers. This is because public bus accidents are still quite high. This is because many families, involved in traffic accidents, are shocked by the accident. Therefore, the problem of perception of a safe bus needs to be studied. The purpose of this study was to determine the perception model of a safe public bus. Mathematical modeling based on the parameters that have been studied was selected first. While the second objective was to determine the importance value of the parameters that are an indication of the perception of the safety of intercity bus public transportation. This research is a type of perceptual one where the data is taken from the relevant respondents. The method of data collection was carried out using a questionnaire with respondents from bus company owners, drivers, and passengers in the province of East Java, Indonesia. Respondents were asked to answer questions related to the variables of income, speed, comfort, and safety. The method of conjoint analysis is used. The first stage is the result of modeling the perception of a safe bus. Further analysis is carried out to obtain the importance value of the parameters. The result of this research is a utility model for the perception of a safe bus, which is expressed by the equation U, where the variables include income, speed, comfort, and safety. The highest level of importance is income 33.29 %, followed by the security variable with a weight of 25.39 %. This shows that the income factor is a top priority for drivers and management of bus company owners, while road safety is second only to income. In other words, respondents' perceptions are more concerned with income, while safety is still a non-priority factor.

Supporting Agency

  • Expressions of gratitude were conveyed to the owners of autobus companies in the East Java Province who were willing to be interviewed and discussed as well as filling out questionnaire data for research purposes on perceptions of safe buses.

Author Biographies

Aji Suraji, Universitas Widyagama Malang

Doctor of Civil Engineering, Associate Professor

Department of Civil Engineering

Ludfi Djakfar, Brawijaya University

Professor

Department of Civil Engineering

Achmad Wicaksono, Brawijaya University

PhD, Associate Professor

Department of Civil Engineering

Marjono Marjono, Brawijaya University

Professor

Department of Mathematics

Leksmono Suryo Putranto, Universitas Tarumanagara

Professor

Department of Civil Engineering

Sugeng Hadi Susilo, State Polytechnic of Malang

Doctor of Mechanical Engineering

Department of Mechanical Engineering

References

  1. Porcu, F., Olivo, A., Maternini, G., Barabino, B. (2020). Evaluating bus accident risks in public transport. Transportation Research Procedia, 45, 443–450. doi: https://doi.org/10.1016/j.trpro.2020.03.037
  2. Mohanty, M., Gupta, A. (2015). Factors affecting road crash modeling. Journal of Transport Literature, 9 (2), 15–19. doi: https://doi.org/10.1590/2238-1031.jtl.v9n2a3
  3. Sudaryanto, Kartikasari, R. (2007). The Measurement of the Service Quality of Transjakarta Public Transportation. Proceeding, International Seminar on Industrial Engineering and Management.
  4. Casado-Sanz, N., Guirao, B., Attard, M. (2020). Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective. Sustainability, 12 (6), 2237. doi: https://doi.org/10.3390/su12062237
  5. Tubis, A. A., Skupień, E. T., Rydlewski, M. (2021). Method of Assessing Bus Stops Safety Based on Three Groups of Criteria. Sustainability, 13 (15), 8275. doi: https://doi.org/10.3390/su13158275
  6. Shah, S., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M., Brijs, T. (2018). Road Safety Risk Assessment: An Analysis of Transport Policy and Management for Low-, Middle-, and High-Income Asian Countries. Sustainability, 10 (2), 389. doi: https://doi.org/10.3390/su10020389
  7. Suraji, A., Harnen, S., Wicaksono, A., Djakfar, L. (2017). Driver Performance Problems of Intercity Bus Public Transportation Safety in Indonesia. IOP Conference Series: Materials Science and Engineering, 267, 012026. doi: https://doi.org/10.1088/1757-899x/267/1/012026
  8. Zuraida, R., Abbas, B. S. (2020). The Factors Influencing Fatigue Related to the Accident of Intercity Bus Drivers in Indonesia. International Journal of Technology, 11 (2), 342. doi: https://doi.org/10.14716/ijtech.v11i2.3792
  9. Rajsman, M., Horvat, R., Rajsman, M. (2014). Public Urban Passenger Transport as Important Factor in the Development of Cities. Journal of Traffic and Logistics Engineering, 2 (3). doi: https://doi.org/10.12720/jtle.2.3.172-175
  10. Bener, A., Yildirim, E., Özkan, T., Lajunen, T. (2017). Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study. Journal of Traffic and Transportation Engineering (English Edition), 4 (5), 496–502. doi: https://doi.org/10.1016/j.jtte.2017.07.005
  11. Prayitno, P., Rulianah, S., Zamrudy, W., Susilo, S. H. (2021). An analysis of performance of an anaerobic fixed film biofilter (AnF2B) reactor in treatment of cassava wastewater. Eastern-European Journal of Enterprise Technologies, 1 (10 (109)), 6–13. doi: https://doi.org/10.15587/1729-4061.2021.225324
  12. Al-Mekhlafi, A. A., Isha, A. S. N., Naji, G. M. A. (2020). The relationship between fatigue and driving performance: A review and directions for future research. Journal of critical reviews, 7 (14), 134–141. doi: https://doi.org/10.31838/jcr.07.14.24
  13. De Oña, J., de Oña, R. (2015). Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches. Transportation Science, 49 (3), 605–622. doi: https://doi.org/10.1287/trsc.2014.0544
  14. Eboli, L., Mazzulla, G. (2012). Performance indicators for an objective measure of public transport service quality. European Transport Trasporti Europei, 51, 1–21.
  15. Suraji, A., Djakfar, L., Wicaksono, A. (2021). Analysis of bus performance on the risk of traffic accidents in East Java-Indonesia. EUREKA: Physics and Engineering, 3, 111–118. doi: https://doi.org/10.21303/2461-4262.2021.001820
  16. Yaya, L. H. P., Fortià, M. F., Canals, C. S., Marimon, F. (2014). Service quality assessment of public transport and the implication role of demographic characteristics. Public Transport, 7 (3), 409–428. doi: https://doi.org/10.1007/s12469-014-0099-7
  17. Wickens, C. M., Smart, R. G., Mann, R. E. (2014). The Impact of Depression on Driver Performance. International Journal of Mental Health and Addiction, 12 (4), 524–537. doi: https://doi.org/10.1007/s11469-014-9487-0
  18. Taneerananon, P., Somchainuek, O. (2005). Bus Crash Situation in Thailand: Case Studies. Journal of the Eastern Asia Society for Transportation Studies, 6, 3617–3628. doi: https://doi.org/10.11175/easts.6.3617
  19. Tanwanichkul, L., Taneerananon, S., Iamtrakul, P., Srisakda, L., Sataphan, A. (2007). Bus safety situation in Thailand: Bus driver experiences and attitudes. 30th Australas. Transp. Res. Forum.
  20. Kral, P., Janoskova, K., Kliestik, T. (2018). Key determinants of the public transport user’s satisfaction. Administratie si Management Public, 31, 36–51. Available at: https://www.researchgate.net/publication/331180185_Key_determinants_of_the_public_transport_user's_satisfaction
  21. Vicente, P., Suleman, A., Reis, E. (2020). Index of Satisfaction with Public Transport: A Fuzzy Clustering Approach. Sustainability, 12 (22), 9759. doi: https://doi.org/10.3390/su12229759

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Published

2021-08-31

How to Cite

Suraji, A., Djakfar, L., Wicaksono, A., Marjono, M., Putranto, L. S., & Susilo, S. H. (2021). Analysis of intercity bus public transport safety perception modeling using conjoint . Eastern-European Journal of Enterprise Technologies, 4(3(112), 36–42. https://doi.org/10.15587/1729-4061.2021.239255

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Section

Control processes