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Multi-objective Programming Approach for Routing Hazardous Materials

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Multi-objective Programming Approach for Routing Hazardous Materials. / Zografos, Konstantinos; Davis, Christian F.
In: Journal of Transportation Engineering, Vol. 115, No. 6, 01.11.1989, p. 661-673.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zografos, K & Davis, CF 1989, 'Multi-objective Programming Approach for Routing Hazardous Materials', Journal of Transportation Engineering, vol. 115, no. 6, pp. 661-673. https://doi.org/10.1061/(ASCE)0733-947X(1989)115:6(661)

APA

Zografos, K., & Davis, C. F. (1989). Multi-objective Programming Approach for Routing Hazardous Materials. Journal of Transportation Engineering, 115(6), 661-673. https://doi.org/10.1061/(ASCE)0733-947X(1989)115:6(661)

Vancouver

Zografos K, Davis CF. Multi-objective Programming Approach for Routing Hazardous Materials. Journal of Transportation Engineering. 1989 Nov 1;115(6):661-673. doi: 10.1061/(ASCE)0733-947X(1989)115:6(661)

Author

Zografos, Konstantinos ; Davis, Christian F. / Multi-objective Programming Approach for Routing Hazardous Materials. In: Journal of Transportation Engineering. 1989 ; Vol. 115, No. 6. pp. 661-673.

Bibtex

@article{3c3b388630c6455099fbe66c05693ea6,
title = "Multi-objective Programming Approach for Routing Hazardous Materials",
abstract = "This paper examines the systemwide routing, of hazardous materials as a means of reducing the threat to the population residing along the links of an entire transportation network. A multi‐objective decision‐making model is used for the mathematical formulation of the routing problem. The proposed model includes the following objectives: (1) Minimization of risk; (2) minimization of risk of special population categories; (3) minimization of travel time; and (4) minimization of property damages. A capacitated and a noncapacitated version of the multiobjective routing problem are presented. A hypothetical network is used to display the applicability of the proposed model. For the example under consideration it is shown that the imposition of capacity constraints on the links of the network tends to distribute the risk in an equitable manner while it increases the total risk by 35%.",
author = "Konstantinos Zografos and Davis, {Christian F.}",
year = "1989",
month = nov,
day = "1",
doi = "10.1061/(ASCE)0733-947X(1989)115:6(661)",
language = "English",
volume = "115",
pages = "661--673",
journal = "Journal of Transportation Engineering",
issn = "0733-947X",
publisher = "ASCE-AMER SOC CIVIL ENGINEERS",
number = "6",

}

RIS

TY - JOUR

T1 - Multi-objective Programming Approach for Routing Hazardous Materials

AU - Zografos, Konstantinos

AU - Davis, Christian F.

PY - 1989/11/1

Y1 - 1989/11/1

N2 - This paper examines the systemwide routing, of hazardous materials as a means of reducing the threat to the population residing along the links of an entire transportation network. A multi‐objective decision‐making model is used for the mathematical formulation of the routing problem. The proposed model includes the following objectives: (1) Minimization of risk; (2) minimization of risk of special population categories; (3) minimization of travel time; and (4) minimization of property damages. A capacitated and a noncapacitated version of the multiobjective routing problem are presented. A hypothetical network is used to display the applicability of the proposed model. For the example under consideration it is shown that the imposition of capacity constraints on the links of the network tends to distribute the risk in an equitable manner while it increases the total risk by 35%.

AB - This paper examines the systemwide routing, of hazardous materials as a means of reducing the threat to the population residing along the links of an entire transportation network. A multi‐objective decision‐making model is used for the mathematical formulation of the routing problem. The proposed model includes the following objectives: (1) Minimization of risk; (2) minimization of risk of special population categories; (3) minimization of travel time; and (4) minimization of property damages. A capacitated and a noncapacitated version of the multiobjective routing problem are presented. A hypothetical network is used to display the applicability of the proposed model. For the example under consideration it is shown that the imposition of capacity constraints on the links of the network tends to distribute the risk in an equitable manner while it increases the total risk by 35%.

U2 - 10.1061/(ASCE)0733-947X(1989)115:6(661)

DO - 10.1061/(ASCE)0733-947X(1989)115:6(661)

M3 - Journal article

VL - 115

SP - 661

EP - 673

JO - Journal of Transportation Engineering

JF - Journal of Transportation Engineering

SN - 0733-947X

IS - 6

ER -