| Ginger Y. Ke
加拿大纽芬兰纪念大学商学院商学院副教授、加拿大滑铁卢大学管理科学系兼职助理教授
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【主讲】Ginger Y. Ke (柯奕)，加拿大纽芬兰纪念大学商学院商学院副教授、加拿大滑铁卢大学管理科学系兼职助理教授
【时间】2019年4月17日（周三）下午15:30
【Speaker】Ginger Y. Ke，an Associate Professor in the Faculty of Business Administration at the Memorial University of Newfoundland and an Adjunct Assistant Professor in the Department of Management Sciences at the University of Waterloo.
【Topic】A fuzzy dual toll policy for regulating the transportation of hazardous materials
【Time】Wednesday, April 17, 2019, 15:30
【Venue】Room 453, Weilun Building, Tsinghua SEM
【Organizer】Department of Management Science and Engineering
【Abstract】 A dual-toll policy, considering a multi-degree fuzzy incident rate, is proposed to mitigate the risk caused by hazardous materials (hazmat) transportation in a road network. To address several carriers transporting multiple types of hazmat, we use a bi-level programming formulation. The upper and lower levels reflect the decision problems for the regulators (regional and local governments), and for travelers (hazmat and non-hazmat), respectively. The "risk equity" (minimization of the maximum link risk) is addressed in addition to the total network risk, so that the spatial distribution of risk is closer to homogeneous. Hazmat and non-hazmat travelers make routing decisions by arranging their transportation flows in light of the corresponding tolls posed by the regulators. To solve the model effectively, a genetic-algorithm-based methodology is employed along with a piecewise linearization method and a Frank-Wolfe approach. Employing the Sioux Falls network, we present case studies which illustrate managerial insights from the dual toll policy and various degrees of incident possibilities, when differing hazmat tolls are imposed on distinct types of hazmat shipped by multiple carriers.
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