## 5 Conclusions  
1. This paper simulates the occurrence of leakage accidents in the railway transportation of hazardous chemicals, such as coal-to-oil, with large ripple effects, an uneven distribution of emergency resources, multi-hazard coupling, trapped railway transportation, production area accident disasters, and other accident scenarios. We form a multi-hazard point and multi-rescue point emergency resource allocation scheme, propose an emergency weight calculation method for emergency rescue team allocation oriented toward rescue points, and constructs a railway transportation channel using the multi-objective optimization model with the shortest response time of the team and the lowest cost of transporting emergency supplies as the objective function. 2. Based on the characteristics of the suddenness, timeliness, and diversity of emergency resource deployment in the rescue of coal-to-oil and other hazardous chemical accidents, and in order to avoid the problem of not participating in the rescue because the weight of local incident points is too small, a swarm algorithm model solving method based on pre-allocation is designed and compared with the genetic algorithm and particle swarm algorithm to realize the search and selection of emergency resource allocation methods. 3. The verification of the arithmetic cases elaborated in this paper shows that the two heuristic algorithms are able to complete the corresponding tasks under the set conditions; in terms of the distribution effect, the swarm algorithm is significantly better than the traditional genetic algorithm. The rescue solution can complete the established emergency rescue tasks with the shortest time and the least cost, which is useful for emergency rescue activities under multi-hazard coupling. In future research, model constraints that are more in line with the emergency response can be constructed according to the characteristics of various types of disasters and emergency resource reserves, so that the resource allocation results are aligned with the emergency response needs and can play an active role in accident rescue. 4. The emergency resource deployment method of the swarm algorithm was effectively verified in an emergency drill of a Bootou chemical spill accident of the National Energy Group. The method constructs a railway channel [29] along the Shuohuang-Shenshuo-Baoshen line, which is owned by the enterprise, and quickly deploys the national mine emergency rescue Shendong team, national hazardous chemical emergency rescue Yulin team, Erdos team, Ningdong team, Nenergy Railway Shuohuang and Baoshen teams, and the electric fire department located in Yulin of Shaanxi, Shuozhou of Shanxi, Ordos of Inner Mongolia, Yinchuan of Ningxia, Cangzhou of Hebei, etc. Emergency resources and equipment are quickly deployed to transfer stations along the railway line, the response time is shortened, the rescue efficiency is improved, and disaster control is enhanced. Therefore, the algorithm can be used as the preferred method for emergency resource deployment during the major industrial (mining, coal chemical, and coal railway transportation) accident rescue strategy of the National Energy Group. At the same time, it can also be used as a reference practice for the central government to deploy the public safety emergency resources of local regional governments at all levels, or the production technology emergency resources of various enterprises in the national natural disaster rescue response through the rapid rescue channel formed by the railway network of the National Railway Group. Due to the special line transportation, the factors considered for hazardous chemicals in this paper are relatively simple. In future research, different types of hazardous chemicals can be considered to solve the model by adding constraints in the case of public transportation. Methodology, Y.G. ; Formal analysis, H.W. ([PERSON]); Investigation, K.Z. ; Data curation, X.Z. ; Funding acquisition, H.W. ([PERSON]).