Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions
Source abstract
Abstract
Railroad accidents involving dangerous goods (DG) need to be rescued quickly due to their hazardous nature. This paper proposes an emergency facility location model for the railway dangerous-goods transportation problem (RDGT-EFLP, abbreviated as EFLP). The EFLP model is based on an ellipsoidal robust model that introduces a robust control safety parameter Ω to measure the risk preferences of decision makers and limits the range of uncertain demand, the range of uncertain service and the range of safety parameters to find the solution for siting emergency facilities, when the time and location of emergency events are unknown. The model is solved using a genetic algorithm (GA) and real data after abstraction. Finally, a comprehensive analysis of the solution results under different maximum overcoverages illustrates the feasibility and effectiveness of the model.
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Research context
OpenAlex topics: Facility Location and Emergency Management · Transportation Planning and Optimization · Urban and Freight Transport Logistics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116024, China
Department of Railway Traffic Operation Management, Baotou Railway Vocational and Technical College, Baotou 010010, China
School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China
Funding
National Science Foundation of Liaoning Province
References (39)
Show source-provided references
1. Heng, W. (2023, February 14). Ohio Alarmed by Toxic Chemicals. Available online: https://www.chinadaily.com.cn/a/202302/14/WS63eb0ca4a31057c47ebaeb10.html.
2. Discussion on Transportation Management of Railway Dangerous Goods
3. A Systematic Railway Dangerous Goods Transportation System Risk Analysis Approach: The 24 Model10.1016/j.jlp.2019.05.021 ↗
4. Historical Data-Driven Risk Assessment of Railway Dangerous Goods Transportation System: Comparisons between Entropy Weight Method and Scatter Degree Method10.1016/j.ress.2020.107236 ↗
5. Research Review of Emergency Facility Location Problem
6. A Multiobjective, Maximal Conditional Covering Location Problem Applied to the Relocation of Hierarchical Emergency Response Facilities10.1016/j.omega.2016.02.006 ↗
7. Algorithms for the Set Covering Problem10.1023/A:1019225027893 ↗
8. Improved Handling of Uncertainty and Robustness in Set Covering Problems10.1016/j.ejor.2017.04.044 ↗
9. A Network Location-Allocation Model Trading off Flow Capturing Andp-Median Objectives10.1007/BF02060480 ↗
10. Considering the Dynamic Refueling Behavior in Locating Electric Vehicle Charging Stations10.5194/isprsannals-II-2-41-2014 ↗
11. Designing Emergency Response Network for Rail Hazmat Shipments under Uncertainties: Optimization Model and Case Study10.1016/j.ssci.2021.105332 ↗
12. Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming10.1287/opre.21.5.1154 ↗
13. Robust Convex Optimization10.1287/moor.23.4.769 ↗
14. Stochastic Optimization of Medical Supply Location and Distribution in Disaster Management10.1016/j.ijpe.2009.10.004 ↗
15. Covering Location Problem of Emergency Service Facilities in an Uncertain Environment10.1016/j.apm.2017.06.043 ↗
16. Roh, S. (2012). The Pre-Positioning of Humanitarian Aid: The Warehouse Location Problem. [Ph.D. Thesis, Cardiff University].
17. A Multi-Criteria Decision-Making Framework for Site Selection of Distributed PV Power Stations along High-Speed Railway10.1016/j.jclepro.2020.124086 ↗
18. Spatial Suitability Analysis for Site Selection of Refugee Camps Using Hybrid GIS and Fuzzy AHP Approach: The Case of Kenya10.1016/j.ijdrr.2022.103062 ↗
19. Xu, W., Xu, J., Proverbs, D., and Zhang, Y. (Kybernetes, 2022). A Hybrid Decision-Making Approach for Locating Rescue Materials Storage Points under Public Emergencies, Kybernetes, ahead of print.10.1108/K-07-2022-1060 ↗
20. A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk10.1016/j.cor.2016.10.005 ↗
21. Strategic Emergency Preparedness Network Design Integrating Supply and Demand Sides in a Multi-Objective Approach10.1080/0740817X.2016.1234731 ↗
22. Increasing the Resilience Level of a Vulnerable Rail Network: The Strategy of Location and Allocation of Emergency Relief Trains10.1016/j.tre.2018.09.009 ↗
23. Gao, H., Liu, K., Peng, X., and Li, C. (2020). Optimal Location of Fast Charging Stations for Mixed Traffic of Electric Vehicles and Gasoline Vehicles Subject to Elastic Demands. Energies, 13.10.3390/en13081964 ↗
24. Locating and Protecting Interdependent Facilities to Hedge against Multiple Non-Cooperative Limited Choice Attackers10.1016/j.ress.2022.108440 ↗
25. A Hybrid Metaheuristic Algorithm for the Multi-Objective Location-Routing Problem in the Early Post-Disaster Stage10.3934/jimo.2022145 ↗
26. Emergency Response Network Design for Hazardous Materials Transportation with Uncertain Demand10.5267/j.ijiec.2012.05.001 ↗
27. Multi-Objective Multi-Layer Congested Facility Location-Allocation Problem Optimization with Pareto-Based Meta-Heuristics10.1016/j.apm.2015.12.013 ↗
28. A Model of Integrated Regional Logistics Hub in Supply Chain10.1080/17517575.2018.1533588 ↗
29. Tang, Z., Li, W., Zhou, S., and Sun, J. (2023). Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties. Appl. Sci., 13.10.3390/app13074432 ↗
30. Railway Dangerous Goods Transportation System Risk Analysis: An Interpretive Structural Modeling and Bayesian Network Combining Approach10.1016/j.ress.2020.107220 ↗
31. Batarlienė, N. (2020). Improving Safety of Transportation of Dangerous Goods by Railway Transport. Infrastructures, 5.10.3390/infrastructures5070054 ↗
32. Analysis of Train Derailments and Collisions to Identify Leading Causes of Loss Incidents in Rail Transport of Dangerous Goods in Canada10.1016/j.jlp.2021.104517 ↗
33. Bekisz, A., Kowacka, M., Kruszyński, M., Dudziak-Gajowiak, D., and Debita, G. (2022). Risk Management Using Network Thinking Methodology on the Example of Rail Transport. Energies, 15.10.3390/en15145100 ↗
34. A Survey of Healthcare Facility Location10.1016/j.cor.2016.05.018 ↗
35. Design of Emergency Response Manufacturing Networks: A Decision-Making Framework10.1016/j.procir.2021.01.068 ↗
36. Bozkaya, E., Eriskin, L., and Karatas, M. (2022). Data Analytics during Pandemics: A Transportation and Location Planning Perspective. Ann. Oper. Res., 1–52.10.1007/s10479-022-04884-0 ↗
37. Risk State Changes Analysis of Railway Dangerous Goods Transportation System: Based on the Cusp Catastrophe Model10.1016/j.ress.2020.107059 ↗
38. Customized Bus Service Design for Uncertain Commuting Travel Demand
39. Variational Genetic Algorithm for NP-Hard Scheduling Problem Solution10.1016/j.procs.2017.01.010 ↗