Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties
Source abstract
Abstract
This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering the uncertainties in demand, reserve, and transportation costs of resources. We introduce a novel approach that integrates stochastic mathematical programming, interval parameter programming, and fuzzy mathematical programming to study uncertain parameter interactions and coupling. A two-stage interval fuzzy credibility-constrained model is established and solved using an interval interactive algorithm. Finally, through a case study on China Railway Nanchang Group Co., Ltd., the novelty and effectiveness of the proposed method for optimizing emergency resource scheduling strategies under multiple uncertainties are demonstrated.
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Research context
OpenAlex topics: Facility Location and Emergency Management · Evacuation and Crowd Dynamics · Transportation Planning and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
Xiangtangxi Railway Station, China Railway Nanchang Group Co., Ltd., Nanchang 330201, China
Funding
Jiangxi Social Science Planning Funding of China · Humanities and Social Sciences Planning Foundation of the Ministry of Education
References (26)
Show source-provided references
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