Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences
Hazardous materials pose significant dangers during transportation due to their flammable and explosive properties. The consequences of accidents involving such materials are often severe and irreparable. A well-designed hazardous materials transportation network can mitigate these risks. However, d...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/1850690 |
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| _version_ | 1832569055715786752 |
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| author | Hongfei Jia Junzhe Li |
| author_facet | Hongfei Jia Junzhe Li |
| author_sort | Hongfei Jia |
| collection | DOAJ |
| description | Hazardous materials pose significant dangers during transportation due to their flammable and explosive properties. The consequences of accidents involving such materials are often severe and irreparable. A well-designed hazardous materials transportation network can mitigate these risks. However, designing such a network presents two major challenges: quantifying the risk associated with hazardous materials transportation and addressing the hierarchical relationship between government and companies. To address these challenges, we enhance the accuracy of accident probability estimates and the comprehensiveness of accident consequence assessments, incorporating the uncertainty of accident outcomes. We propose a comprehensive risk assessment model and develop a bilevel programming model to reflect the hierarchical relationship. In this model, the government at the upper level aims to minimize the total risk, while companies at the lower level seek to minimize their total costs. The model is transformed using chance-constrained programming and solved using heuristic algorithms. We apply the model to the highway network in Anhui province, China, to verify its validity. The results demonstrate that the model effectively manages the hierarchical relationship between government and companies, reduces the risk of hazardous materials transportation, and enhances the stability and safety of the transportation network. |
| format | Article |
| id | doaj-art-7bed663789ba4a4187d6e5c148097fe8 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-7bed663789ba4a4187d6e5c148097fe82025-02-02T23:17:28ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/1850690Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident ConsequencesHongfei Jia0Junzhe Li1College of TransportationCollege of TransportationHazardous materials pose significant dangers during transportation due to their flammable and explosive properties. The consequences of accidents involving such materials are often severe and irreparable. A well-designed hazardous materials transportation network can mitigate these risks. However, designing such a network presents two major challenges: quantifying the risk associated with hazardous materials transportation and addressing the hierarchical relationship between government and companies. To address these challenges, we enhance the accuracy of accident probability estimates and the comprehensiveness of accident consequence assessments, incorporating the uncertainty of accident outcomes. We propose a comprehensive risk assessment model and develop a bilevel programming model to reflect the hierarchical relationship. In this model, the government at the upper level aims to minimize the total risk, while companies at the lower level seek to minimize their total costs. The model is transformed using chance-constrained programming and solved using heuristic algorithms. We apply the model to the highway network in Anhui province, China, to verify its validity. The results demonstrate that the model effectively manages the hierarchical relationship between government and companies, reduces the risk of hazardous materials transportation, and enhances the stability and safety of the transportation network.http://dx.doi.org/10.1155/2024/1850690 |
| spellingShingle | Hongfei Jia Junzhe Li Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences Journal of Advanced Transportation |
| title | Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences |
| title_full | Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences |
| title_fullStr | Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences |
| title_full_unstemmed | Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences |
| title_short | Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences |
| title_sort | optimal design of a hazardous materials transportation network considering uncertainty in accident consequences |
| url | http://dx.doi.org/10.1155/2024/1850690 |
| work_keys_str_mv | AT hongfeijia optimaldesignofahazardousmaterialstransportationnetworkconsideringuncertaintyinaccidentconsequences AT junzheli optimaldesignofahazardousmaterialstransportationnetworkconsideringuncertaintyinaccidentconsequences |