Population growth and the development of economy in Indonesia affect the increase in vehicle volume, especially in the city of Surabaya. The increasing of vehicles volume, causing congestion at some points in Surabaya including Gayung Kebonsari. One of the congestion factors at the railway level crossings is the duration of closing time as the train passes through the crossing. Considering of those problems, two models developed, those are: the queuing of traffic length and with considering of length and speed of the train, and queue length. Data have been collected and analyzed by making the model relationship with simple linear regression method. Based on the research, the result shown that there are positive relationship of the train length, train speed, and the length of closing time, y = 1.7204x1-0.073 x2 + 56.39. Where y is the length of closing time, x1 is the train length and x2 is train velocity. However, the train speed has negative relationship. The equation means every additional length of train means additional closing time equals to 1.7204 seconds, and-0.073 means the velocity of train has negative effect for the length of railway level crossing closing time. It means additional velocity equals to 1 km/h will decrease 0.073 s of railway level crossing closing time. Kata kunci: perlintasan sebidang, panjang antrian, early warning, analisa regresi berganda Abstrak Pertumbuhan penduduk dan perkembangan ekonomi di Indonesia mempengaruhi peningkatan volume kendaraan, terutama di kota Surabaya. Peningkatan volume kendaraan, menyebabkan kemacetan di beberapa titik di Surabaya. Salah satu faktor kemacetan di perlintasan kereta api adalah durasi waktu penutupan saat kereta melewati persimpangan. Durasi penutupan perlintasan yang tidak pasti menyebabkan pengguna jalan menjadi tidak disiplin dengan menerobos perlintasan yang berakibat pada meningkatnya tingkat kecelakaan lalu lintas yang terjadi di persimpangan sebidang tidak berpalang pintu. Sehingga perlu dibuat dua model hubungan antar variabel. Model pertama yaitu hubungan antara lama waktu penutupan perlintasan dengan jumlah rangkaian dan kecepatan kereta, dan model kedua yaitu hubungan antara lama waktu penutupan perlintasan dengan panjang antrian kendaraan. Digunakan metode regresi berganda untuk membuat model tersebut. Hasil model regresi hubungan antara lama waktu penutupan perlintasan sebidang dengan panjang dan kecepatan kereta memiliki pengaruh positif dengan model hubungannya yaitu: y = 1.7204x1-0.073 x2 + 56.39. Dengan y adalah lama waktu penutupan, x1 adalah panjang kereta, dan x2 adalah kecepatan kereta. Setiap pertambahan satu rangkaian kereta bertambah pula lama waktu penutupan sebesar 1.7204 detik, serta arti dari-0.073 berarti bertambahnya kecepatan 1 km/jam maka akan menurunkan 0.073 detik lama waktu penutupan perlintasan sebidang.
Indonesia on the fifth ranks in the world considering of accident number, after China, India, Afghanistan, and Nigeria, where East Java is the province that has the highest accident in Indonesia. The city of Surabaya as the Capital of East Java Province automatically became the centre of government activities, giving rise to transportation activities that indirectly had an impact on accidents. Therefore, it is necessary to conduct research to obtain the accident rate and the location of black site in the city of Surabaya. In addition, considering that productive age including junior high school (SMP) is the highest contributor on the accidents, the level of understanding of junior high school students on traffic regulations needs to be analysed. From the data obtained at IRSMS, it can be seen that five roads in Surabaya were the highest contributors to accidents in Surabaya, namely Mastrip, Diponegoro, A. Yani, Kenjeran, and Ir. Soekarno, where the five roads are inter-city connecting roads that blend with the road in the city. In addition, from the interview data, there was a relationship between awareness of traffic behaviour and willingness to protect themselves. Indonesia menduduki peringkat kelima, setelah Tiongkok, India, Afghanistan, dan Nigeria. Dan Jawa Timur adalah propinsi yang mempunyai kecelakaan tertinggi di Indonesia. Kota Surabaya sebagai Ibukota Provinsi Jawa Timur secara otomatis menjadi pusat kegiatan pemerintahan, sehingga menimbulkan kegiatan transportasi yang secara tidak langsung berdampak pada terjadinya kecelakaan. Oleh karenanya perlu dilakukan penelitian untuk memperoleh nilai accident rate, serta black site di Kota Surabaya. Selain itu mengingat usia produktif termasuk anak sekolah tingakat Sekolah Menengah Atas (SMP) adalah penyumbang kecelakaan tertinggi, maka tingkat pemahaman para pelajar SMP terhadap peraturan lalu lintas perlu di analisa. Dari data yang didapat pada IRMS, terlihat bahwa lima jalan di kota Surabaya menjadi penyumbang kecelakaan tertinggi di Surabaya, yaitu jalan A. Yani, Mastrip, Diponegoro, Kenjeran dan Ir. Soekarno, dimana kelima jalan tersebut adalah jalan-jalan penghubung antar kota yang berbaur dengan jalan dalam kota. Selain itu dari data wawancara diperoleh hubungan antara niat dengan kepatuhan terhadap peraturan lalu lintas.
A high number of accidents in railway level crossing causes loss of life and material. Furthermore, the losses are also experienced by users of traffic on the highway such as disturbance in the form of delay which can lead to increase the length of travel time where the vehicle will stop, and give impact to the emergency queue vehicle at railway level crossing. Considering those problems, there has been build two models which are: the first model is the queuing of traffic length and with considering the length and speed of the train, and the second model is the queuing of traffic with considering the gate closing time. The methodology applied was an observation on field and survey data and then calculation from Road Capacity Guidelines of Indonesia (PKJI 2014) and queue length calculation using the queuing analysis method. Data have been collected and analysed by making the model relationship using linear regression method. The result showed that there is a positive relationship between the train lengths with the duration of gate closing time. However, the train speed has a negative relationship. Moreover, the length of the train has a positive relationship with the length of the vehicle queue.
Selection of the use of transportation modes to travel from origin to destination is influenced by various factors. Factors that must be considered include travel time, vehicle operating costs (VOK), and the value of travel time. The purpose of this study is to determine which model will be chosen by the user to travel and discusses the comparative analysis of travel time and cost of public transportation modes, namely Transjakarta and private cars. This research was conducted in DKI Jakarta, precisely in the Transjakarta corridor IX Pinang Ranti-Pluit. Measurement of travel time is done by riding each mode with the same route and time. Secondary data as calculation material was obtained from agencies related to this research. This study analyzes Vehicle Operational Costs (VOK) using the Pacific Consultants International (PCI) method. The results showed that during peak hours, the use of Transjakarta was more effective in terms of time because the travel time required was 11 minutes faster than in private vehicles. Then for the costs incurred, it is also more efficient to use Transjakarta at the cost of Rp. 3,500 per trip. Meanwhile, using a private vehicle of Rp. 14,784 per person with a passenger car capacity of 7 people. During the COVID-19 pandemic, there was a provision for a passenger car capacity limit of 4 people. So the cost of using a private vehicle per person can reach Rp. 25,871.ABSTRAKPemilihan penggunaan moda transportasi untuk melakukan perjalanan dari asal ke tujuan dipengaruhi oleh berbagai macam faktor. Faktor yang diperhatikan antara lain waktu tempuh, Biaya Operasional Kendaraan (BOK) dan nilai waktu perjalanan. Untuk memperkirakan mode apa yang akan dipilih oleh masyarakat untuk bepergian, penelitian ini membahas tentang analisis perbandingan waktu tempuh dan biaya moda transportasi umum yaitu transjakarta dan mobil pribadi. Penelitian ini berlokasi di provinsi DKI Jakarta tepatnya pada koridor IX transjakarta Pinang Ranti-Pluit. Pengukuran waktu perjalanan dilakukan dengan cara menaiki masing-masing moda dengan rute dan waktu yang sama. Data sekunder sebagai bahan perhitungan, diperoleh dari instansi yang terkait dengan penelitian ini. Analisis Biaya Operasional Kendaraan (BOK) dalam penelitian ini menggunakan Metode Pacific Consultants International (PCI) Hasil penelitian menunjukkan bahwa pada jam sibuk penggunaan Transjakarta lebih efektif secara waktu karena waktu tempuh yang diperlukan lebih cepat 11 menit dibandingkan dengan kendaraan pribadi. Kemudian untuk biaya yang dikeluarkan juga lebih efisien menggunakan Transjakarta dengan biaya sebesar Rp 3.500 sekali perjalanan. Sedangkan jika dibandingkan dengan menggunakan kendaraan pribadi sebesar Rp 14.784 perorang dengan kapasitas mobil penumpang sebanyak 7 orang. Pada masa pandemic covid-19, terdapat ketentuan batas kapasitas mobil penumpang sebanyak 4 orang. Sehingga biaya menggunakan kendaraan pribadi perorangnya dapat mencapai Rp. 25.871.
Population growth and the development of economic in Indonesia affect the increase in vehicle volume, especially in the city of Surabaya. The increasing of vehicle volume resulting in increased of direct-access to the city centre and causing arise of new railway level crossings. Furthermore, the increasing of vehicles volume, causing congestion at some points in Surabaya including Jemursari. 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 caused road users to be undisciplined by break through the crossing gates while the train pass through the crossings. Considering of those problems, there are two models has been build, which are: first model is relationship between the length of the train, train velocity, and the closing time of the railway level crossing, and the second model is relationship between the closing time of the railway level crossing and the length of the vehicle queue. Data have been collected and analyse by making model relationship with simple linear regression method. The result shown that there is positive relationship of the train length with the length of gate closing time. However, the train speed has negative relationship. Moreover, length of train has positive relation with the length of queue.
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