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A bi-objective fuzzy credibilistic chance-constrained programming approach for the hazardous materials road-rail multimodal routing problem under uncertainty and sustainability

Sun, Y. (author)
Li, X. (author)
Liang, X. (author)
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Zhang, Cevin (author)
KTH,Skolan för kemi, bioteknologi och hälsa (CBH)
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 (creator_code:org_t)
2019-05-04
2019
English.
In: Sustainability. - : MDPI AG. - 2071-1050. ; 11:9
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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. 

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Other Civil Engineering (hsv//eng)

Keyword

Bi-objective optimization
Carbon dioxide emissions
Credibilistic chance-constrained programming
Hazardous materials routing
Road-rail multimodal transportation
Uncertainty
carbon dioxide
carbon emission
experimental design
sustainability
trade-off
transportation
uncertainty analysis

Publication and Content Type

ref (subject category)
art (subject category)

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By the author/editor
Sun, Y.
Li, X.
Liang, X.
Zhang, Cevin
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
and Transport System ...
NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
and Computational Ma ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
and Other Civil Engi ...
Articles in the publication
Sustainability
By the university
Royal Institute of Technology

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