Travel Time Behavior Study of Malang-Denpasar Intercity Bus Considering Sailing Time of Ketapang-Gilimanuk

Authors

  • M.i Fatkhurrozi
  • D. K. Sudarsana
  • D. Yuniar
  • A. Suraji

DOI:

https://doi.org/10.31328/jsae.v4i2.3084

Keywords:

travel time, behavior, intercity bus, sailing time, Ketapang-Gilimanuk

Abstract

The study intends to acquire travel time behavior needed by Malang-Denpasar intercity bus (AKAP) considering sailing time of Ketapang-Gilimanuk. This research is a new thing to find out the inter-city bus travel time between islands. Where in this study the bus route connects the island of Java with the island of Bali. The interesting thing is that the travel time during the crossing at the port is part of the overall travel time identification. In addition, the presentation method using a trajectory table for inter-city bus travel routes is a more interesting presentation. Travel time of the bus is achieved by moving observer method (actual survey) where the surveyor is on the bus to track the travel. Interview is also conducted to get the experience of the respondents. The results are displayed in trajectory curve to present travel speed in each segment. In this study there are limitations that were carried out due to limited resources. This survey was only conducted in one round trip and 2 surveyors were mobilized. And what was noted during the survey was more about the travel time aspect. The results of this study provide an overview of travel time in outbound and inbound. In addition, the delay time that occurs during the trip is also identified. Actual survey shows that outbound journey is longer (13.9 hours) than inbound (11.13 hours). Delay time of outbound is 3.16 hours while that of inbound is 1.28 hours. Interview results longer travel time than that of actual survey. While sailing time of Ketapang and Gilimanuk harbour satisfies the minimum standard.

References

A. I. Nedobitkov and B. M. Abdeev, “Estimation of inter-city travel demand for public road transport in Nigeria,†Pozharovzryvobezopasnost/Fire Explos. Saf., vol. 28, no. 6, pp. 18–28, Jan. 2020, doi: 10.14254/jsdtl.2018.3-3.7.

F. Wu, X. Hu, S. An, and D. Zhang, “Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information,†J. Adv. Transp., vol. 2019, 2019, doi: 10.1155/2019/9095279.

L. Djakfar, D. Yuniar, A. Wicaksono, and A. Efendi, “The perception and behavior of coal truck drivers on the travel timeliness,†in Lecture Notes in Civil Engineering, 2021, vol. 132, doi: 10.1007/978-981-33-6311-3_112.

Y. Wang, Y. Bie, and Q. An, “Impacts of Winter Weather on Bus Travel Time in Cold Regions: Case Study of Harbin, China,†J. Transp. Eng. Part A Syst., vol. 144, no. 11, 2018, doi: 10.1061/jtepbs.0000198.

A. I. Nedobitkov and B. M. Abdeev, “Research on Passenger’s travel mode choice behavior waiting at bus station based on SEM-logit integration Model,†Pozharovzryvobezopasnost/Fire Explos. Saf., vol. 28, no. 6, pp. 18–28, Jan. 2020, doi: 10.3390/su10061996.

M. A. A. Bin Miskeen, A. M. Alhodairi, and R. A. A. B. O. K. Rahmat, “Modeling of intercity travel mode choice behavior for non-business trips within Libya,†Res. J. Appl. Sci. Eng. Technol., vol. 7, no. 3, pp. 442–453, Jan. 2014, doi: 10.19026/rjaset.7.274.

M. M. Rahman, S. C. Wirasinghe, and L. Kattan, “Analysis of bus travel time distributions for varying horizons and real-time applications,†Transp. Res. Part C Emerg. Technol., vol. 86, 2018, doi: 10.1016/j.trc.2017.11.023.

A. Chepuri, S. Joshi, S. Arkatkar, G. Joshi, and A. Bhaskar, “Development of new reliability measure for bus routes using trajectory data,†Transp. Lett., vol. 12, no. 6, 2020, doi: 10.1080/19427867.2019.1595356.

K. R. Sahara A., Setyaningsih E, Arifin M Z, “Kajian Kinerja Operasional Bus Antar Kota Antar Provinsi (AKAP) Kelas Eksekutif Trayek Malang-Jakarta,†J. Mhs. Jur. Tek. Sipil, vol. 1(2), 2015.

A. Khadhir, B. Anil Kumar, and L. D. Vanajakshi, “Analysis of global positioning system based bus travel time data and its use for advanced public transportation system applications,†J. Intell. Transp. Syst. Technol. Planning, Oper., vol. 25, no. 1, 2021, doi: 10.1080/15472450.2020.1754818.

Z. Dai, X. Ma, and X. Chen, “Bus travel time modelling using GPS probe and smart card data: A probabilistic approach considering link travel time and station dwell time,†J. Intell. Transp. Syst. Technol. Planning, Oper., vol. 23, no. 2, 2019, doi: 10.1080/15472450.2018.1470932.

I. K. S. Muliawan H, “Analisis Pendapatan Sopir Angkutan Kota Sebelum dan Sesudah Pembangunan Terminal Mengwi,†E-Jurnal EP Unud, vol. 5, 2016.

PP No. 30/2021, Peraturan Pemerintah Republik Indonesia Nomor 30 Tahun 2021 Tentang Penyelenggaraan Bidang Lalu Lintas dan Angkutan Jalan. 2021.

Z. D. Zubizaretta and D. A. Saputra, “Kajian Kinerja Pelayanan dan Operasional Bus Sekolah Gratis Kota Malang Menggunakan Metode IPA dan Analisis BOK,†J. Sipil, vol. 1, no. 1, 2016.

Y. Yuan et al., “Bus dynamic travel time prediction: Using a deep feature extraction framework based on rnn and dnn,†Electron., vol. 9, no. 11, 2020, doi: 10.3390/electronics9111876.

R. Zito and M. A. P. Taylor, “The use of GPS in travel-time surveys,†Traffic Eng. Control, vol. 35, no. 12, 1994.

A. Suraji, “Studi Waktu Perjalanan Bus AKDP Trayek Surabaya-Pacitan,†in Book Chapter Seri 2 Inovasi Teknologi dalam Mendukung Pembangunan Berkelanjutan, Fakultas Teknik Universitas Widyagama Malang, Inteligensia Media, 2021.

Downloads

Published

2021-10-30

Issue

Section

Articles