STUDY OF SOCIETY BEHAVIOUR TO EARLY WARNING IN THE RAILWAY LEVEL CROSSING WITHOUT BARRIER IN GAYUNG KEBONSARI, SURABAYA
DOI:
https://doi.org/10.29122/mipi.v14i1.4040Keywords:
Railway Level Crossing, Accident, Society Behavior, Regression, Binary logitAbstract
Railway level crossing safety is one of the most critical issues for railways. Collisions between trains and motorized vehicles contribute most to LX accidents. Population growth and the development of economic in Indonesia affect the increase in vehicle volume, especially in the city of Surabaya. Furthermore, the increasing of vehicles volume, causing congestion at some points in Surabaya including Gayung Kebonsari railway level crossing. One of the congestion factors at the railway level crossings is the duration of closing time as the train passes through the crossing. The uncertain duration of gate closing time cause road users to be undisciplined by break through the crossing gates while the train pass through the crossings. Considering of those problems, respondents’ opinion is being evaluated to see the society behavior to early warning on reducing the number of traffic violation. A comprehensive discussion of the existing problems, lessons learned and the possible future implications that can be applied in Indonesia are presented.
References
Surabaya Central Bureau of Statistics. 2017. Statistik Pertumbuhan volume kendaraan Surabaya. Surabaya: BPS.
A. Utami and H. Widyastuti (2019), Model Panjang Antrian Kendaraan pada Perlintasan Sebidang Tanpa Palang Pintu ( Studi Kasus : Perlintasan Sebidang Jl . Gayung Kebonsari Surabaya ). Jurnal Aplikasi Teknik Sipil vol. 17, no. 23, pp. 27–34, 2019.
H. Widyastuti, W. Herijanto, A. Agung, G. Kartika, and B. Rahardjo,(2016) “Railway infrastructure to support inter-modal transportation from port to hinterland ( case Study-Manyar port ),†Procedia - Soc. Behav. Sci., vol. 227, no. November 2015, pp. 181–185.
“Uu_No_23_Tahun_2007.Pdf.†2007.
Ghazel, M., 2009. Using stochastic Petrinets for level-crossing collision risk assessment. IEEE Trans. Intell. Transport. Syst. 10 (4), 668–677.
Mekki, A., Ghazel, M., Toguyeni, A., (2012). Validation of a new functional design of automatic protection systems at level crossings with model-checking techniques. IEEE Trans. Intell. Transport. Syst. 13 (2), 714–723.
Liu, B., Ghazel, M., Toguyeni, A., 2016. Model-based diagnosis of multi-track level crossing plants. IEEE Trans. Intell. Transport. Syst. 17 (2), 546–556.
Wigglesworth, E.C., 2001. A human factors commentary on innovations at railroadhighway grade crossings in Australia. J. Safety Res. 32 (3), 309–321.
Read, G.J., Salmon, P.M., Lenné, M.G., Stanton, N.A., 2016. Walking the line: understanding pedestrian behaviour and risk at rail level crossings with cognitive work analysis. Appl. Ergon. 53, 209–227.
Stefanova, T., Burkhardt, J.-M., Filtness, A., Wullems, C., Rakotonirainy, A., Delhomme, P., 2015. Systems-based approach to investigate unsafe pedestrian behaviour at level crossings. Acc. Anal. Prevent. 81 (0), 167–186.
Larue, G.S., Rakotonirainy, A., Haworth, N.L., Darvell, M., 2015. Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings. Transport. Res. Part F: Traff. Psychol. Behav. 30, 1–13.
Surabaya Central Bureau of Statistics. 2018. Statistik Pertumbuhan Penduduk Surabaya. Surabaya: BPS.
Surabaya Police Department (2007). Laporan Pelaksanaan Kampanye Keselamatan untuk Semua Pengguna Jalan Responsible Riding Tanggal 3 September-31 Oktober 2007.
Anandarao,S., Masrtland, C.D., 1998. Level crossingsafety on east Japan railway company : aplication of probabilistic risk assessment techniques. Transportation 25 (3), p. 265-286.
Pickett,M.W., Grayson, G.B 1996. Vehicle driver behaviour at level crossings. Health and safety Executive, Sheffield., p.52.
L. Tey, L. Ferreira, and A. Wallace, “Measuring driver responses at railway level crossings,†Accid. Anal. Prev., vol. 43, no. 6, pp. 2134–2141, 2011.
Widyastuti.H, G. Kartika A.A, Fathir M., Widyanie A., 2009. Evaluation of Responsible Riding Program on Reducing Number of Motorcycle Accident. Publisher: Eastern Asia Society for Transportation Studies. Vol.7 ( 2019).
Soimun, A., Widyastuti H. 2018. Analisis Probabilitas Perpindahan Moda Pengguna Kendaraan Pribadi (Sepeda Motor Dan Mobil) Ke Kereta Api Commuter Surabaya Sidoarjo, Master Thesis : Institut Teknologi Sepuluh Nopember : Surabaya.
F. Miro, Perencanaan Transportasi untuk Mahasiswa, Perencana, dan Praktisi. Jakarta: Erlangga, 2005.
M. F. Nurdiansyah and H. Widyastuti, 2015 “Analisis Probabilitas Perpindahan Moda dari Bus ke Kereta Api Siliwangi Jurusan Sukabumi-Cianjur Menggunakan Analisis Regresi Logit Biner,†J. Tek. ITS, vol. 4, no. 1.
O. Z. Tamin, Perencanaan dan Pemodelan Transportasi, Edisi ke-2. Bandung: ITB, 2008.Hens, S., Rosjidi, M., Natural Zeolite Purification Process, Industrial Studies Magazine, No. 21, 2003, p23.
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