The Identification of Characteristic, Cause, and Disaster Management of Traffic Accident at the Sungailiat – Belinyu Road
Abstract
This study aims to identify the characteristic, cause, and disaster management of traffic accidents at the Sungailiat – Belinyu road. The research method used is descriptive quantitative. Data collection techniques is in the form of documentation and observation. The data collected then analyzed using data analysis techniques with classification methods. Based on the research done, the results obtained are the accidents that occur on Jalan Raya Sungailiat - Belinyu are the most common in Riau Silip District with a percentage of 59.8%. The accidents characteristics on Sungailiat - Belinyu road based on the time of the incident, mostly occurred during the afternoon to evening at 12.00 - 17.59 WIB and in the evening at 18.00 - 23.59 WIB. Based on the type of collision, the most common types of collisions are frontal collisions by 30% and collisions due to loss of control by 26.6%. Based on road users, road users who are most involved in accidents are motorcycles by 40%, cars by 23.3%, dump trucks by 10%, and the other vehicles in a small percentage. As for the factors causing the accident, it was found that the accident was caused by road users (73.33%), road factors (23.33%), and environmental factors (6.66%). The handling of accident management is arranged according to the causative factors that are done before, when it occurs, and after an accident occurs as an effort to reduce the risk of accidents on the Sungailiat – Belinyu road, Bangka Regency.
Keywords
Full Text:
PDFReferences
Davila Cervantes C.A & Pardo Montano A.M. Analysis of De La Tendencia e Impacto De La Mortalidad Por Causas Externas: Mexico 2000 – 2013. Salud Colctiva Vol. 12 Number 2. 2016.
Bangka Belitung Province Road Transport Traffic Forum. Accident Prone Areas (Blackspot) in the Province of the Bangka Belitung Islands
http://fllaj.babelprov.go.id/content/area-rawan-kecelakaan-black-spot-di-provinsi-kejualan-bangka-belitung accessed on 01 September 2021 at 15.21 WIB.
Jihwook Bahk & Kyunghee Jung Choi. Contribution of Avoidable Death to Increased Life Expectancy in Korea Between 1998 – 2017. International Journal of Environmental Research and Public Health. vol. 17. 2020.
Jourgi. 2019. Analysis of the Effect of Geometric Roads with Visibility on Accident Rates at Silip Village Locations (Case Study of Sungailiat Highway – Belinyu, Riau Silip District, Bangka Regency). Essay.
Ministry of Communication and Information of the Republic of Indonesia. An average of three people die every hour due to road accidents. Accessed via https://kominfo.go.id/index.php/content/detail/10368/rata-three-orang-meninggal-per-jam-hasil-kecelakaan-jalan/0/artikel_gpr on 01 September 2021 at 15.00 pm
Minister For Public Works and Human Settlements. 2016. Diktat of Safe Roads Module 2. Introduction to Road Safety Engineering.
Nanda Dewi Arumsari, Arief Laila Nugraha, Moehammad Awaluddin. 2016. Permodelan Daerah Rawan Kecelakaan Dengan Menggunakan Cluster Analysis. Undip Geodesy Journal.
Nur Hafizah MD Akhir, Azlinda Azman, & Noremy MD Akhir. Keperluan dan Kesiapsiagaan Sukarelawan Membantu Mangsa Bencana Alam. Asian Social Work Journal (ASWJ). Volume 3 issue 1. 2018
Government of the Republic of Indonesia. Law No. 22 on road traffic and transportation. Jakarta: Ministry of Law and Human Rights 2009.
Suci Andriyati. 2013. Kajian Lokasi Rawan kecelakaan Lalu Lintas Di Surabaya Selatan Tahun 2013.
Sugiyono. 2012. Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung. Alfabeta.
Suharsimi Arikunto. 1995. Metodologi Penelitian Teknik dan Praktek. Jakarta. Rineka Cipta.
Teuku Aldy Farhan. 2019. Permodelan Tingkat Kerawanan Kecelakaan Lalu Lintas Berbasis Sistem Informasi Geografis di Kota Medan. Universitas Sumatera Utara. Medan.
Unit Laka Lantas. Laporan Tahunan Data Kecelakaan Tahun 2018 – 2020. Sungailiat. Kepolisian Resort Bangka.
DOI: http://dx.doi.org/10.18415/ijmmu.v8i10.3035
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 International Journal of Multicultural and Multireligious Understanding
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
https://ijmmu.com
editor@ijmmu.com
facebook.com/ijmmu
Copyright © 2014-2018 IJMMU. All rights reserved.