ACCIDENT-PRONE AREAS IDENTIFICATION AND HANDLING PRIORITIES ON SPECIAL REGION OF YOGYAKARTA PROVINCIAL ROAD SECTION

A N Jannah ^[1]*, P J Romadhona^1,2, I Y Rahman¹, A Rahmawati³

 

¹Universitas Islam Indonesia

²University of Leeds, UK

³Universitas Muhammadiyah Yogyakarta

[1]^* Corresponding author’s email: [email protected]

DOI: https://doi.org/10.20885/icsbe.vol4.art39

 

Abstract.

The development of the Special Region of Yogyakarta requires transportation facilities and infrastructure that can accommodate the needs of local transportation services for people or goods movements that are safe, comfortable, and punctual. This research aims to identify the accident-prone areas on the Special Region of Yogyakarta provincial roads and provide recommendation of the handling priorities for government as a policy-making to reduce the number of accidents. Accident-prone areas were analysed with Kernel Density Analysis and Buffer Analysis using ArcGIS software then the areas were ranked using the Accident Equivalent Number method. The field survey is carried out at the top 3 accident-prone areas to analysed the types of accidents and the reasons of the accident resulting in the recommendation for stakeholders. The findings of this research are the top 3 accident-prone areas including Yogyakarta – Barongan road section (near Muhammadiyah Blawong Elementary School), Bantul – Srandakan road section (near Mangiran Market), and Bantul – Srandakan road section (near Pandak police office). There are several recommendations for handling, for instance signs and markings installation, geometric repairments, and the awareness of the road user community towards safe traffic that needs to be carried out continuously through various media.

 

Keywords: Accidents; ArcGIS software; Kernel Density Analysis

 

REFERENCES

DIY Central Statistics Agency 2022 Provinsi Daerah Istimewa Yogyakarta Dalam Angka (Yogyakarta: DIY Central Statistics Agency)

DIY Department of Transportation 2021 Studi Daerah Rawan Kecelakaan di Jalan Provinsi (Yogyakarta: DIY Department of Transportation)

Angin M and Ali S I A 2021 Analysis of Factors Affecting Road Traffic Accidents in North Cyprus Engineering, Technology & Applied Science Research 11 issue 6 pp. 7938-7943

Saputra A D 2017 Studi Tingkat Kecelakaan Lalu Lintas Jalan di Indonesia Berdasarkan Data KNKT (Komite Nasional Keselamatan Transportasi) Dari Tahun 2007-2016 Warta Penelitian Perhubungan 29 no. 2 pp.179-190

Sugiyanto G, Fadil A and Santi M Y 2020 Penerapan Hasil Audit Keselamatan Jalan di Lokasi Rawan Kecelakaan Lalu Lintas DINAMISIA: Jurnal Pengabdian Kepada Masyarakat 4 no. 1 pp. 50-58

Fahza A and Widyastuti H 2019 Analisis Daerah Kecelakaan Lalu Lintas Pada Ruas Jalan Tol Surabaya-Gempol Jurnal Teknik ITS 8 no.1 pp.E54-E59

Imtihan K and Fahmi H 2020 Analisis dan Perancangan Sistem Informasi Daerah Rawan Kecelakaan Dengan Menggunakan Geographic Information Systems (GIS) MISI (Jurnal Manajemen informatika & Sistem Informasi) 3 no. 1 pp.16-23

Yu B, Chen Y, Bao S and Xu D 2018 Quantifying Drivers’ Visual Perception to Analyze Accident-Prone Locations on Two-Lane Mountain Highways Accident Analysis and Prevention 119 pp.122–130

Rizvee M M, Amiruzzaman M and Islam M R 2021 Data Mining and Visualization to Understand Accident-Prone Areas Proceedings of International Joint Conference on Advances in Computational Intelligence pp.143–154

Anderson T K 2008 Karnel Density Estimation and K-Means Clustering to Profile Road Accident Hotspots Accident Analysis and Prevention 41 pp.359–364

Wang H, Liu Z, Liu Z, Wang X, and Wang J 2022 GIS-based analysis on the spatial patterns of global maritime accidents Ocean Engineering 245 110569

Amri R 2020 Efektivitas Pelaksanaan Program Peningkatan Keselamatan Lalu Lintas Oleh Dinas Perhubungan Padang (Banjarmasing: Universitas Lambung Mangkurat Banjarmasing)

 

Acknowledgments

This acknowledgment is to Transportation Agency of Yogyakarta Province for the project funding support.