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Articles

A GIS-based risk reduction approach for the hazardous materials routing problem in Gaziantep

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Pages 1437-1453 | Received 27 Mar 2017, Accepted 28 Apr 2017, Published online: 24 Jul 2017

References

  • ADR. 1985. European agreement concerning the international carriage of dangerous goods by road. Available at https://www.unece.org/trans/danger/publi/adr/adr_e.html. Accessed on 18 March 2017
  • AFAD. 2014. Disaster and Emergency Management Authority. Available at https://www.afad.gov.tr/upload/Node/3911/xfiles/tasimacilik_kazalari-son.pdf. Accessed on 12 March 2017
  • Ak R and Bozkaya B. 2008. A proposed risk model and a GIS framework for hazardous materials transportation, Proceedings of IEEE International Conference on Engineering Management, pp 1–5
  • Androutsopoulos KN and Zografos KG. 2010. Solving the bi-criterion routing and scheduling problem for hazardous materials distribution. Transp Res C: Emerg Technol 18 (5):713–26
  • Atamoros LGL, Villagómez GF, Gómez MJC, et al. 2011. Development of a relative ranking risk index for risk assessment in the transportation of liquefied petroleum gas in Mexico City's metropolitan area. Hum Ecol Risk Assess 17 (6):1193–209
  • Barilla D, Leonardi G, and Puglisi A. 2009. Risk assessment for hazardous materials transportation, Applied Mathematical Sciences, 3 (46):2295–309
  • Chen W, Zhai G, Fan C, et al. 2017. A planning framework based on system theory and GIS for urban emergency shelter system: A case of Guangzhou, China. Hum Ecol Risk Assess 23 (3):441–56
  • EMRA. 2015. Turkish Petroleum Market Report of 2015, Energy Market Regulatory Authority, Ankara, Turkey. Available at http://www.epdk.org.tr/TR/Dokumanlar/Petrol/YayinlarRaporlar/Yillik. Accessed on 1 March 2017
  • Erkut E and Ingolfsson A. 2005. Transport risk models for hazardous materials: Revisited. Oper Res Lett 33 (1):81–89
  • Erkut E, Tjandra AS, and Verter V. 2007. Hazardous materials transportation. Handbooks in Operations Research and Management Science, vol 14, pp 539–621. Elsevier, Netherlands.
  • Erkut E and Verter V. 1998. Modeling of transport risk for hazardous materials. Oper Res 46 (5):625–42
  • Fan T, Chiang WC, and Russell R. 2015. Modeling urban HAZMAT transportation with road closure consideration. Transp Res D: Transp Environ 35:104–15
  • Frank WC, Thill J-C, and Batta R. 2000. Spatial decision support system for hazardous material truck routing. Transp Res C: Emerg Technol 8:337–59
  • Huang B. 2006. GIS-based route planning for hazardous material transportation. J Environ Informat 8 (1):49–57
  • Huang B, Cheu RL, and Liew YS. 2004. GIS and genetic algorithms for HAZMAT route planning with security considerations. Int J Geogr Inf Sci 18 (8):769–87
  • Johnson K, Depietri Y, and Breil M. 2016. Multi-hazard risk assessment of two Hong Kong districts. Int J Disaster Risk Reduct 19:311–23
  • Kim M, Hooks EM, and Nair R. 2011. A geographic information system-based real-time decision support framework for routing vehicles carrying hazardous materials. J Intell Transp Syst 15 (1):28–41
  • Leonelli P, Bonvicini S, and Spadoni G. 2000. Hazardous materials transportation: A risk-analysis-based routing methodology. J Hazard Mater 71 (1–3):283–300
  • Li R, Leung Y, Huang B, et al. 2013. A genetic algorithm for multi-objective dangerous goods route planning. Int J Geogr Inf Sci 27 (6):1073–89
  • Mahmoudabadi A and Seyedhosseini SM. 2014. Solving hazmat routing problem in chaotic damage severity network under emergency environment. Transp Policy 36:34–45
  • MNE. 2011. Report of hazardous material transportation by Ministry of National Education of Turkey. Available at http://www.megep.meb.gov.tr/mte_program_modul/moduller_pdf.pdf. Accessed on 18 March 2017
  • Monprapussorn S, Thaitakoo D, Watts DJ, et al. 2009. Multi criteria decision analysis and geographic information system framework for hazardous waste transport sustainability. J Appl Sci 9 (2):268–77
  • Pamučar D, Ljubojević S, Kostadinović D, et al. 2016. Cost and risk aggregation in multi-objective route planning for hazardous materials transportation: A neuro-fuzzy and artificial bee colony approach. Exp Syst Appl 65:1–15
  • Pourrahmani E, Delavar MR, and Mostafavi MA. 2015. Optimization of an evacuation plan with uncertain demands using fuzzy credibility theory and genetic algorithm. Int J Disaster Risk Reduct 14 (4):357–72
  • Pradhananga R, Taniguchi E, and Yamada T. 2010. Ant colony system based routing and scheduling for hazardous material transportation. Proc Soc Behav Sci 2 (3):6097–108
  • Preda A, Rönkkö M, Pickl S, et al. 2013. GIS-based route planning for HAZMAT transportation. In: Hřebíček J (eds), Environmental Software Systems, Fostering Information Sharing Volume 413 of the series IFIP Advances in Information and Communication Technology, pp 357–66
  • Sahnoon I, Shanableh A, and Hamad K. 2016. Risk-based GIS model for hazardous materials routing in Sharjah, United Arab Emirates as a case study. Int J Sustain Soc 8 (2):96–108
  • Taboada J, Matías JM, Saavedra A, et al. 2006. Risk communications: Around the world neural network models for assessing road suitability for dangerous goods transport. Hum Ecol Risk Assess 12 (1):174–91
  • TSI. 2016. Turkish statistical institute. Available at http://www.tuik.gov.tr/Start.do. Accessed on 26 April 2017
  • U.S. Department of Transportation. 2015. Hazardous materials commodity flow survey. Available at https://www.census.gov/econ/cfs/2012/ec12tcf-us-hm.pdf. Accessed on 26 April 2017
  • Verter V and Kara BY. 2001. A GIS-based framework for hazardous materials transport risk assessment. Risk Anal 21 (6):1109–20
  • Yanık S. 2014. Reverse logistics network design under the risk of hazardous materials transportation. Hum Ecol Risk Assess 21 (5):1277–98
  • Yılmaz Ö, Kara BY, and Yetis U. 2016. Hazardous waste management system design under population and environmental impact considerations. J Environ Manage. doi: 10.1016/j.jenvman.2016.06.015
  • Zhang J, Hodgson J, and Erkut E. 2000. Using GIS to assess the risks of hazardous materials transport in networks. Eur J Oper Res 121 (2):316–29
  • Zografos KG and Androutsopoulos KN. 2004. A heuristic algorithm for solving hazardous materials distribution problems. Eur J Oper Res 152 (2):507–19

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