Integrating Z-Score and GIS-Based Methods for Road Accident-‎Prone Segment Identification

  • Authors

    • Wahyu Satyaning Budhi Department of Civil Engineering, Politeknik Negeri Banyuwangi, Banyuwangi, East Java, Indonesia
    • Wahyu Naris Wari Department of Civil Engineering, Politeknik Negeri Banyuwangi, Banyuwangi, East Java, Indonesia
    • M. Shofi'ul Amin Department of Civil Engineering, Politeknik Negeri Banyuwangi, Banyuwangi, East Java, Indonesia
    • Ahmad Utanaka Department of Civil Engineering, Politeknik Negeri Banyuwangi, Banyuwangi, East Java, Indonesia
    • Hera Widyastuti Department of Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, East Java, Indonesia
    https://doi.org/10.14419/1b78mm15

    Received date: October 20, 2025

    Accepted date: October 30, 2025

    Published date: November 6, 2025

  • Geographic Information System (GIS); Hotspot Analysis; Traffic Accident; Z-Score Method

  • Abstract

    The rapid development of road infrastructure today presents significant challenges in ensuring road safety. The National Road III section ‎from Kabat to the Banyuwangi City Boundary has shown a concerning trend in traffic accidents, highlighting the need to identify accident ‎locations. This study employed secondary data obtained from the Banyuwangi Police traffic unit accident reports. The research analysis was ‎conducted in two phases. First, the Z-score method was utilized to identify accident road segments through statistical evaluation. Subsequently, Hotspot Analysis (Getis-Ord Gi*) integrated with Geographic Information System (GIS) was applied to map and verify the spatial ‎clustering of accidents. Both methods consistently identified two critical segments out of 25 road sections (each 200 meters in length). These ‎were located at STA 5+200 – 5+400 with a 95% risk level and STA 8+400 – 8+600 with a 90% risk level, while the remaining segments ‎did not show statistically significant clustering of accidents. The consistency of results across both methods strengthens the reliability of the ‎findings, underscoring the importance of targeted safety interventions and accident mitigation strategies in these high-risk zones.

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  • How to Cite

    Budhi, W. S., Wari, W. N., Amin, M. S., Utanaka, A., & Widyastuti, H. (2025). Integrating Z-Score and GIS-Based Methods for Road Accident-‎Prone Segment Identification. International Journal of Basic and Applied Sciences, 14(7), 213-218. https://doi.org/10.14419/1b78mm15