Research on Emergency Rescue Scheme Based on Multi-Objective Material Dispatching of Heavy-Haul Railway

Xiaolei Zhang, Kaigong Zhao (), Xingkai Zhang, Shang Gao and Ting Meng
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Xiaolei Zhang: China Academy of Safety Science and Technology, Beijing 100012, China
Kaigong Zhao: School of Civil and Resource Engineering, Beijing University of Science and Technology, Beijing 100083, China
Xingkai Zhang: School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Shang Gao: China Academy of Safety Science and Technology, Beijing 100012, China
Ting Meng: School of Civil and Resource Engineering, Beijing University of Science and Technology, Beijing 100083, China

Sustainability, 2025, vol. 17, issue 5, 1-17

Abstract: It is particularly important to improve the emergency rescue response ability of heavy-haul railways to ensure the safety of personnel and the efficiency of material transportation. The current research has achieved some results for multi-objective material dispatching, but it does not consider the impact of accident response level and material type on material dispatching scheme. In this study, a heavy-haul railway in China was selected as the research object. By designing a dual-objective material scheduling model, an optimal material scheduling scheme was obtained, and the optimal solution was solved by a non-dominated sorting genetic algorithm (NSGA-II). Under the condition of keeping the station unchanged and ensuring that the total amount of materials remained unchanged, an optimization scheme of relief material reserves that match the risk characteristics of the line is proposed. The results show that, based on the utility theory, the minimum distance of the improved dual-objective material dispatching is reduced by 34.8% (single accident point) and 62.99% (multiple accident points), and the total distance of material dispatching is reduced by 37.92% and 70.57%, respectively, indicating that the optimized reserve scheme can effectively shorten the response time and improve the rescue efficiency. The material reserve optimization scheme for emergency rescue stations proposed in this study has important reference value for improving the emergency rescue efficiency of heavy-haul railways.

Keywords: heavy-haul railway; dispatching materials; transport distance; non-dominated sorting genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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