Speaker
Description
Abstract: High rates of occupational traffic accidents consistently threaten workforce safety, reduce operational efficiency, and increase corporate liability. While digital fleet management systems are common, they frequently prioritize logistics over active hazard prevention. Mitigating these risks requires multidimensional, technology-driven safety interventions. Objectives: This study evaluates and prioritizes the functional requirements for developing a proactive safety driving application, aligning technological implementation with Sustainable Development Goals 3, 8, and 9. Methods: The Analytic Hierarchy Process was utilized to structure the decision model using pairwise comparisons from an expert panel in occupational safety, software engineering, and fleet operations. Four criteria including Safety Impact, Technical Feasibility, Usability, and Regulatory Compatibility were assessed to rank four proposed features: PPE Compliance Check, GPS Tracking, Emergency Reporting, and Health Check. Findings: The PPE Compliance Check secured the highest global weight, driven by its substantial contribution to risk reduction and legal compliance. Experts noted it transforms standard administrative policy into an active engineering control. GPS Tracking ranked second owing to its established technical feasibility, followed closely by Emergency Reporting. Relying on subjective data, the manual Health Check scored the lowest across all dimensions due to self-reporting bias. Sensitivity analyses confirmed a highly robust priority ranking with a consistency ratio below 0.10. Consequently, automated PPE verification should serve as the core foundation of the development roadmap. Future research should integrate objective field performance data to further validate these strategic priorities.
Keywords: Analytic Hierarchy Process, Occupational Safety, Fleet Management, Feature Prioritization, Mobile Application
