Three Strategies Reducing Accident Rates at Black Spots and Black Sites Road in Riau Province, Indonesia

Sandhyavitri, Ari; Zamri,; Wiyono, Sugeng; Subiantoro,

doi:10.1016/j.trpro.2017.05.415

Cited by 22 publications

(17 citation statements)

References 1 publication

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“…Road traffic collisions between the two or more vehicles, between the pedestrians and vehicle, between the vehicles and fixed obstacles [7]. The black spot of the collision refers to a segment or section of road considered to be a place with a high risk of road collisions [8,9]. Another description of the black spot is that any site or location is 100 m in length and the past five years, four bodily injuries have been noted [10].…”

Section: Introductionmentioning

confidence: 99%

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

et al. 2020

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Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

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Section: Introductionmentioning

confidence: 99%

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

et al. 2020

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“…This is presented as random variables in the context of project investment. According to [8], risk and uncertainty can be expressed as follow [18]; a risk occurs when a decision is defined in term of probabilistic outcomes at a certain range of possibilities. An uncertainty is commonly expressed when there are more than one possible outcomes occur but there is no certain probability of each outcome could be quantified.…”

Section: Methodsmentioning

confidence: 99%

Risk and Uncertainty in the Medan-Binjai Toll Road Infrastructure Project, Indonesia Based on the Stochastic Analyzes

Sandhyavitri¹,

Malik²,

Suprayogi³

et al. 2018

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This paper demonstrates state of the arts stochastic risk analyzes in assisting decision-making processes in achieving the project objectives in terms of the estimating project costs under uncertainty. The objectives of this study were to; (i) analyze the feasibility of the Trans Sumatra toll road projects section of Medan-Binjai (25.46 km), Indonesia, and (ii) identify and quantify the toll road risk and uncertainty variables influencing the economic feasibility of the project using stochastic approach. This study identified that the risk variables in this study may include; Indonesia Certificate Bank (SBI), inflation, volume of traffic (vehicles), operation and maintenance (O&M) costs, construction costs, land accusation costs, Jakarta Inter-Bank Offer Rate (JIBOR), and design (EED/FED). The initial results of this study (Scenario 1), using concession period of a-35 years with an implementation of the initial tariff of class I vehicles (Rp. 750 / km) showed that the project was considered not financially feasible as 90% probability of the projected net present value (NPV) was negative at the range of Rp. -1.06 trillion to Rp. 2.57 trillion. The project would be financially feasibility after conducting mitigation processes for those the identified risks, such as; providing the government supports (GSs) as much as 40% of the total construction costs as well as land acquisition costs (Scenario 3). This scenario has resulted that there was 90% probability of the projected NPV would be positive at the range of Rp. 0.54 million to 1.894 million. The implementation of the stochastic risk analysis may assist the project managers comprehensively in developing decision-making processes in financing the toll road project.

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“…Kecelakaan lalu lintas disebabkan oleh kesalahan manusia 66,67%, kegagalan kendaraan 11,11% dan, buruknya kondisi teknis jalan eksisting 22,22%. Setelah menerapkan 3 strategi yang meliputi mendidik pengguna jalan, meningkatkan strategi jalan yang lebih aman, dan meningkatkan keselamatan jalan dan spesifikasi teknis, angka kecelakaan menurun hingga 50% (Sandhyavitri et al, 2017). Untuk kepentingan penanggulangannya diperlukan adanya suatu pola yang dapat menggambarkan karakteristik proses kejadian suatu kecelakaan lalu lintas, agar dapat disimpulkan faktor penyebabnya supaya dapat dirumuskan pula upaya penanggulangannya, seperti penelitian sebelumnya hasil analisa didapatkan faktor-faktor kecelakaan pada ruas jalan By-Pass Krian -Balongbendo adalah faktor manusia (79,91 %), faktor kendaraan (12,66 %), faktor jalan (4,37 %) dan faktor lingkungan (3,06 %) (Utomo, 2012).…”

Section: Pendahuluanunclassified

Analisis Daerah Lokasi Rawan Kecelakaan Jalan Tol Tangerang-Merak

Oktopianto¹,

Pangesty²

2021

j.keselam.transportasijalan

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Jalan tol sebagai jalan bebas hambatan memiliki perbedaan dari jalan biasa. Namun dengan status bebas hambatan bukan berarti masalah kecelakaan lalu lintas juga dapat teratasi. Jalan tol dirancang dengan tingkat kenyamanan, kelancaran dan keselamatan tinggi, tetapi jumlah kecelakaan di jalan tol Indonesia masih tinggi. Pada ruas jalan tol Tengerang-Merak terdapat 650 kasus kecelakaan dengan fatalitas yang mengakibatkan 31 orang meninggal dunia. Penelitian dilakukan untuk mengidentifikasi daerah rawan kecelakaan (black site) dan lokasi rawan kecelakaan (black spot) pada ruas jalan tol Tengerang-Merak. Metode yang digunakan dalam penelitian ini meliputi metode Angka Ekivalen Kecelakaan (AEK) dan Upper Control Limit (UCL). Hasil penelitian menunjukkan kecelakaan tertinggi pada ruas Jalan Tol Tangerang-Merak berdasarkan perhitungan dengan menggunakan metode Angka Ekivalen Kecelakaan (AEK) per 1 KM yaitu jalur A di KM 65+000 – 66+000 dan Jalur B KM 40+000 – 41+000. Kemudian menggunakan metode Upper Control Limit (UCL) per 1 KM yaitu jalur A KM 94+000 – 95+000 dan Jalur B KM 97+000 – 98+000. Rekomendasi penanganan lokasi rawan kecelakaan pada ruas Jalan Tol Tangerang-Merak dengan peningkatan kondisi marka dan rambu yang kurang jelas serta penambahan dan perbaikan fasilitas perlengkapan jalan.

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Three Strategies Reducing Accident Rates at Black Spots and Black Sites Road in Riau Province, Indonesia

Cited by 22 publications

References 1 publication

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

Risk and Uncertainty in the Medan-Binjai Toll Road Infrastructure Project, Indonesia Based on the Stochastic Analyzes

Analisis Daerah Lokasi Rawan Kecelakaan Jalan Tol Tangerang-Merak

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