Ginger Y. Ke, Saeed Shakeri Nezhad, David M. Tulett
{"title":"管制危险物质运输:基于情景的网络设计方法,综合风险缓解机制","authors":"Ginger Y. Ke, Saeed Shakeri Nezhad, David M. Tulett","doi":"10.1080/03081079.2023.2269469","DOIUrl":null,"url":null,"abstract":"AbstractIntegrating both proactive and reactive risk-mitigation mechanisms, this research constructs a bi-level network design problem for hazardous materials (hazmats) to regulate the carriers' use of roads, such that the environmental impact is minimized. In more detail, by embedding the emergency response time into the risk assessment, the locations of hazmat response teams are determined along with toll schemes, road closures, and new road constructions. The uncertainties of demand, including differences in the number of shipments, origin/destination changes, and amount variations, are also taken into account by applying a scenario-based approach. The proposed bi-level model is first solved optimally by a single-level reformulation, and then by a three-stage heuristic method for larger instances. Through numerical experiments on a real-world road network in Nanchang, a city in China, a set of management insights are derived to facilitate policy-making in regulating hazmat transportation.Keywords: Risk mitigationemergency responsehazardous materialsdemand uncertaintynetwork design Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 ¥ is the symbol for Renminbi, the official currency of the People's Republic of China.Additional informationFundingThis research has been supported by Discovery Grants from the Natural Sciences and Engineering Research Council of Canada (grant #: RGPIN-2015-04013, RGPIN-2022-03514), and by Mitacs through the Accelerate program.","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"58 1","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regulating hazardous material transportation: a scenario-based network design approach with integrated risk-mitigation mechanisms\",\"authors\":\"Ginger Y. 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Regulating hazardous material transportation: a scenario-based network design approach with integrated risk-mitigation mechanisms
AbstractIntegrating both proactive and reactive risk-mitigation mechanisms, this research constructs a bi-level network design problem for hazardous materials (hazmats) to regulate the carriers' use of roads, such that the environmental impact is minimized. In more detail, by embedding the emergency response time into the risk assessment, the locations of hazmat response teams are determined along with toll schemes, road closures, and new road constructions. The uncertainties of demand, including differences in the number of shipments, origin/destination changes, and amount variations, are also taken into account by applying a scenario-based approach. The proposed bi-level model is first solved optimally by a single-level reformulation, and then by a three-stage heuristic method for larger instances. Through numerical experiments on a real-world road network in Nanchang, a city in China, a set of management insights are derived to facilitate policy-making in regulating hazmat transportation.Keywords: Risk mitigationemergency responsehazardous materialsdemand uncertaintynetwork design Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 ¥ is the symbol for Renminbi, the official currency of the People's Republic of China.Additional informationFundingThis research has been supported by Discovery Grants from the Natural Sciences and Engineering Research Council of Canada (grant #: RGPIN-2015-04013, RGPIN-2022-03514), and by Mitacs through the Accelerate program.
期刊介绍:
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.