Scipediacontent: Scipediacontent moved page Draft Content 610843411 to 238,295mj

2021-03-23T00:22:55Z

Scipediacontent moved page Draft Content 610843411 to 238,295mj

Scipediacontent: Created page with " == Abstract == Hazardous materials transportation involves extensive risk and cannot be avoided in practice. An advanced routing, however, can help to reduce the risk by pla..."

2021-03-23T00:20:18Z

Created page with " == Abstract == Hazardous materials transportation involves extensive risk and cannot be avoided in practice. An advanced routing, however, can help to reduce the risk by pla..."

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== Abstract ==

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 objective. In this study, we explore the hazardous materials routing problem in the road-rail multimodal transportation network with a hub-and-spoke structure, in which the risk is measured by the multiplication of population exposure and the associated volume of hazardous materials, and minimizing the total risk of all the transportation orders of hazardous materials is set as the risk objective. It is difficult to estimate the population exposure exactly during the routing decision-making process, which results in its uncertainty. In this study, we formulate the uncertain population exposure from a fuzzy programming perspective by using triangular fuzzy numbers. Moreover, the carbon dioxide emission constraint is formulated to realize the sustainable transportation of hazardous materials. To optimize the problem under the above framework, we first establish a bi-objective fuzzy mixed integer nonlinear programming model, and then develop a three-stage exact solution strategy that the combines fuzzy credibilistic chance constraint, linearization technique, and the normalized weighting method. Finally, a computational experiment is carried out to verify the feasibility of the proposed method in dealing with the problem. The experimental results indicate that tradeoffs between the two conflicting objectives can be effectively made by using the Pareto frontier to the hazardous materials routing problem. Furthermore, the credibility level and carbon dioxide emission cap significantly influence the hazardous materials routing optimization. Their effects on the optimization result are quantified by using sensitivity analysis, which can draw some useful insights to help decision makers to better organize the hazardous materials road-rail multimodal transportation under uncertainty and sustainability.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_610843411-beopen1347-1427-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/su11092577 http://dx.doi.org/10.3390/su11092577] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/su11092577 http://dx.doi.org/10.3390/su11092577] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2071-1050/11/9/2577/pdf https://www.mdpi.com/2071-1050/11/9/2577/pdf] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/2071-1050/11/9/2577 https://www.mdpi.com/2071-1050/11/9/2577],
: [https://doaj.org/toc/2071-1050 https://doaj.org/toc/2071-1050] under the license cc-by

* [https://www.mdpi.com/2071-1050/11/9/2577 https://www.mdpi.com/2071-1050/11/9/2577],
: [https://www.mdpi.com/2071-1050/11/9/2577/pdf https://www.mdpi.com/2071-1050/11/9/2577/pdf],
: [http://www.diva-portal.org/smash/record.jsf?pid=diva2:1313624 http://www.diva-portal.org/smash/record.jsf?pid=diva2:1313624],
: [https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2577-d228257.html https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2577-d228257.html],
: [https://pubag.nal.usda.gov/catalog/6529286 https://pubag.nal.usda.gov/catalog/6529286],
: [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:1313624 http://kth.diva-portal.org/smash/record.jsf?pid=diva2:1313624],
: [https://academic.microsoft.com/#/detail/2943238378 https://academic.microsoft.com/#/detail/2943238378]

* [https://www.mdpi.com/2071-1050/11/9/2577/pdf https://www.mdpi.com/2071-1050/11/9/2577/pdf],
: [http://dx.doi.org/10.3390/su11092577 http://dx.doi.org/10.3390/su11092577]

under the license https://creativecommons.org/licenses/by/4.0/

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Scipediacontent: Scipediacontent moved page Draft Content 610843411 to 238,295mj

Scipediacontent: Created page with " == Abstract == Hazardous materials transportation involves extensive risk and cannot be avoided in practice. An advanced routing, however, can help to reduce the risk by pla..."