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Multi-objective route planning for dangerous goods using compromise programming


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  • Rongrong Li


  • Yee Leung
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Geographical Systems.

    Volume (Year): 13 (2011)
    Issue (Month): 3 (September)
    Pages: 249-271

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    Handle: RePEc:kap:jgeosy:v:13:y:2011:i:3:p:249-271

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    Related research

    Keywords: Compromise programming; Dangerous goods; GIS; Multi-objective route planning; C44; L92;

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    1. Karkazis, J. & Boffey, T. B., 1995. "Optimal location of routes for vehicles transporting hazardous materials," European Journal of Operational Research, Elsevier, vol. 86(2), pages 201-215, October.
    2. Zhang, Jianjun & Hodgson, John & Erkut, Erhan, 2000. "Using GIS to assess the risks of hazardous materials transport in networks," European Journal of Operational Research, Elsevier, vol. 121(2), pages 316-329, March.
    3. Vedat Verter & Bahar Y. Kara, 2008. "A Path-Based Approach for Hazmat Transport Network Design," Management Science, INFORMS, vol. 54(1), pages 29-40, January.
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    Cited by:
    1. Sazvar, Z. & Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Akbari Jokar, M.R., 2014. "A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products," International Journal of Production Economics, Elsevier, vol. 150(C), pages 140-154.
    2. Rongrong Li & Yee Leung & Hui Lin & Bo Huang, 2013. "An adaptive compromise programming method for multi-objective path optimization," Journal of Geographical Systems, Springer, vol. 15(2), pages 211-228, April.


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