A Bi-Objective Fuzzy Credibilistic Chance-Constrained Programming Approach for the Hazardous Materials Road-Rail Multimodal Routing Problem under Uncertainty and Sustainability

Hazardous materials transportation involves extensive risk and cannot be avoided in practice. An advanced routing, however, can help to reduce the risk by planning the best transportation routes for hazardous materials that can make effective tradeoffs between the risk objective and the economic obj...

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Veröffentlicht in:	Sustainability Jg. 11; H. 9; S. 2577
Hauptverfasser:	Sun, Yan, Li, Xinya, Liang, Xia, Zhang, Cevin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 04.05.2019
Schlagworte:	Advantages Bi-objective optimization carbon dioxide Carbon dioxide emissions carbon emission Credibilistic chance-constrained programming Decision making experimental design Federal regulation Hazardous materials Hazardous materials routing Intermodal transportation Mathematical programming nonlinear models Optimization planning Production planning risk reduction Road-rail multimodal transportation Roads & highways Studies sustainability toxic substances trade-off transportation Transportation planning Uncertainty uncertainty analysis United States > US China
ISSN:	2071-1050, 2071-1050
Online-Zugang:	Volltext
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