Research Article

Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye

Number: 2 June 29, 2026
TR EN

Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye

Abstract

Traffic accidents persist as a critical transportation and public health challenge in Türkiye, echoing a global trend. In this framework, spatial analysis of accident data is of paramount importance for the precise identification of high-risk zones, the development of robust safety strategies, and the formulation of evidence-based policies aimed at mitigating accident rates. While numerous studies in the Turkish literature examine the spatiotemporal distribution of traffic accidents across various provinces, a comprehensive Geographic Information Systems (GIS)-based analysis specifically focusing on Bitlis has not yet been conducted. This gap underscores the necessity of scientifically investigating the region's accident patterns and generating data-driven insights to assist decision-makers. This study seeks to fill this significant academic void by analyzing the spatial distribution of traffic accidents in Bitlis through GIS-supported analytical methodologies. Utilizing a five-year accident point dataset (2020–2024), the research delineates density zones, conducts statistical hotspot analysis, and identifies high-risk road segments. The findings demonstrate that accident clusters are predominantly concentrated along corridors with heavy traffic volumes and road sections with challenging physical or structural constraints. Additionally, harsh climatic factors, road geometry, and driver behaviors emerge as primary determinants of accident occurrences. Consequently, this research represents the first comprehensive GIS-based accident analysis for Bitlis. The results provide a substantial reference for enhancing regional traffic safety, eliminating chronic blackspot, and planning strategic infrastructure investments while establishing a fundamental framework for future research.

Keywords

Supporting Institution

TÜBİTAK 2209-A

Project Number

1919B012403309

Ethical Statement

This study does not involve any experimental procedures on human or animal subjects and does not include the use of personal data. Therefore, ethics committee approval is not required.

Thanks

We would like to thank The Scientific and Technological Research Council of Turkey (TÜBİTAK) for the financial and scientific support provided within the scope of the 2209-A Research Projects Support Program for Undergraduate Students.

References

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  6. Colak, H. E., Memisoglu, T., Erbas, Y. S., & Bediroglu, S. (2018). Hot spot analysis based on network spatial weights to determine spatial statistics of traffic accidents in Rize, Turkey. Arabian Journal of Geosciences, 11(7). https://doi.org/10.1007/s12517-018-3492-8
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Details

Primary Language

English

Subjects

Transport Planning, Transportation and Traffic

Journal Section

Research Article

Publication Date

June 29, 2026

Submission Date

February 10, 2026

Acceptance Date

March 30, 2026

Published in Issue

Year 2026 Number: 2

APA
Akıllı El, A., Uzunköprü, S., & Nasir, M. K. (2026). Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye. Trafik Ve Ulaşım Araştırmaları Dergisi, 2. https://doi.org/10.38002/tuad.1885075
AMA
1.Akıllı El A, Uzunköprü S, Nasir MK. Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye. Trafik ve Ulaşım Araştırmaları Dergisi. 2026;(2). doi:10.38002/tuad.1885075
Chicago
Akıllı El, Alev, Seyhan Uzunköprü, and Mehmet Kerim Nasir. 2026. “Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye”. Trafik Ve Ulaşım Araştırmaları Dergisi, nos. 2. https://doi.org/10.38002/tuad.1885075.
EndNote
Akıllı El A, Uzunköprü S, Nasir MK (June 1, 2026) Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye. Trafik ve Ulaşım Araştırmaları Dergisi 2
IEEE
[1]A. Akıllı El, S. Uzunköprü, and M. K. Nasir, “Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye”, Trafik ve Ulaşım Araştırmaları Dergisi, no. 2, June 2026, doi: 10.38002/tuad.1885075.
ISNAD
Akıllı El, Alev - Uzunköprü, Seyhan - Nasir, Mehmet Kerim. “Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye”. Trafik ve Ulaşım Araştırmaları Dergisi. 2 (June 1, 2026). https://doi.org/10.38002/tuad.1885075.
JAMA
1.Akıllı El A, Uzunköprü S, Nasir MK. Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye. Trafik ve Ulaşım Araştırmaları Dergisi. 2026. doi:10.38002/tuad.1885075.
MLA
Akıllı El, Alev, et al. “Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye”. Trafik Ve Ulaşım Araştırmaları Dergisi, no. 2, June 2026, doi:10.38002/tuad.1885075.
Vancouver
1.Alev Akıllı El, Seyhan Uzunköprü, Mehmet Kerim Nasir. Identification of Traffic Accident Hotspots Through Geographic Information Systems-Based Spatial Analysis: The Case of Bitlis, Türkiye. Trafik ve Ulaşım Araştırmaları Dergisi. 2026 Jun. 1;(2). doi:10.38002/tuad.1885075

https://creativecommons.org/licenses/by/4.0/