Presenting a multi-objective model for routing dangerous goods in the rail transport network with the aim of minimizing transportation costs an‎d environmental impacts

10/15/2025 12:00:00 AM

Transportation of dangerous goods in rail networks is considered one of the most challenging logistical issues due to high human an‎d environmental risks. Given the increasing volume of movement of these materials, the development of efficient optimization models that can simultaneously address economic an‎d safety goals is an undeniable necessity. This research presents a new multi-objective mathematical model for optimal routing of dangerous goods in the rail transport network. The proposed model, using parametric programming an‎d meta-heuristic algorithms, simultaneously pursues the two main goals of minimizing operating costs an‎d reducing negative environmental impacts. The research findings show that using this model can be effective in reducing operating costs by up to 25% an‎d reducing environmental risks by up to 40%. A case study conducted on the Iranian rail network confirms the effectiveness of the model in real conditions. By providing a systematic framework for decision-making, this research provides a valuable tool for logistics managers an‎d transportation planners an‎d can contribute to more sustainable policymaking in the field of hazardous materials transportation.

بهينه‌سازي چندهدفه , مسيريابي كالاهاي خطرناك , شبكه حمل‌ونقل ريلي , مديريت ريسك زيست‌محيطي , برنامه‌ريزي رياضي پارامتريك , هزينه‌هاي لجستيكي , مدلسازي تصميم‌گيري چندمعياره

Multi-objective optimization , Dangerous goods routing , Rail transport network , Environmental risk management , Parametric Mathematical Programming , Logistics costs , Multi-criteria decision-making modeling

Seyedeh Nazanin Moosavian

Reza Mohammad Hasani