Pendampingan Identifikasi Blackspot dan Sosialisasi Rekomendasi Keselamatan Jalan Berbasis Metode EAN-UCL di Kota Surabaya

Abstract

The continuous increase in traffic accidents in Surabaya highlights the urgent need for evidence-based road safety management and community-level intervention. This community service program (PKM) aimed to transfer technical blackspot analysis results to stakeholders and road users through participatory validation and targeted safety socialization. Secondary accident data (2022–2024) from Satlantas Polrestabes Surabaya covering 401 road segments were analyzed using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) methods. The program followed a structured PKM approach: needs assessment, data analysis, stakeholder validation workshop, community socialization, and post-intervention evaluation. Results identified 127 blackspots, with Jl. A. Yani (EAN=1,764), Jl. Ir. H. Soekarno (EAN=1,098), and Jl. Mastrip (EAN=1,041) as top priorities. Following socialization to 55 participants (traffic safety forum, driver communities, and local agency representatives), safety literacy increased significantly from 42.1% to 78.6% (p<0.001). The program also secured initial commitment from the Surabaya Transportation Agency to pilot infrastructure interventions on the top three corridors. This study demonstrates that systematic data analysis, when coupled with stakeholder engagement and community education, can effectively bridge the gap between academic research and actionable road safety policy.