IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i22p6300-d285241.html
   My bibliography  Save this article

Minimizing the Risks of Highway Transport of Hazardous Materials

Author

Listed:
  • David M. Goldberg

    (Department of Management Information Systems, San Diego State University, San Diego, CA 92182, USA)

  • Sukhwa Hong

    (Department of Business Administration and Economics, University of Hawaii—Hilo, Hilo, HI 96720, USA)

Abstract

Many key industrial and scientific processes, such as the generation of nuclear energy, are of enormous social benefit as energy demand and consumption grow over time. However, a drawback of several such processes is the production of hazardous waste materials, which often requires transportation along highway networks to treatment or disposal facilities. This waste can represent a safety hazard to civilians located along the transportation route. Most prior literature in this domain considers risk within only a single facet, and thus several important risk factors may not be considered. In our paper, we propose a multi-objective program to allow for the analysis and selection of minimally risky routes for hazardous materials transportation. The model assesses risk factors including the length of the selected route, the total population in areas surrounding the selected route, and the likelihood of an accident occurring along the selected route. Our paper uniquely uses geographic information systems (GIS) technology to model this optimization problem. This approach allows us to model risk along multiple dimensions simultaneously. We collect empirical data to test the model and present a case study for risk mitigation using a study area located in California. We show that our multi-objective approach is effective in presenting the decision-maker with a portfolio of solutions that perform well via each factor.

Suggested Citation

  • David M. Goldberg & Sukhwa Hong, 2019. "Minimizing the Risks of Highway Transport of Hazardous Materials," Sustainability, MDPI, vol. 11(22), pages 1-10, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6300-:d:285241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/22/6300/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/22/6300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weixia Wang & Jian Bao & Sijia Yuan & Haiyun Zhou & Guoping Li, 2019. "Proposal for Planning an Integrated Management of Hazardous Waste: Chemical Park, Jiangsu Province, China," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    2. Hongli Zhao & Ning Zhang & Yu Guan, 2018. "Safety Assessment Model for Dangerous Goods Transport by Air Carrier," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    3. Yan Sun & Xinya Li & Xia Liang & Cevin Zhang, 2019. "A Bi-Objective Fuzzy Credibilistic Chance-Constrained Programming Approach for the Hazardous Materials Road-Rail Multimodal Routing Problem under Uncertainty and Sustainability," Sustainability, MDPI, vol. 11(9), pages 1-27, May.
    4. Lucian-Ionel Cioca & Larisa Ivascu, 2017. "Risk Indicators and Road Accident Analysis for the Period 2012–2016," Sustainability, MDPI, vol. 9(9), pages 1-15, August.
    5. Fang, Kan & Ke, Ginger Y. & Verma, Manish, 2017. "A routing and scheduling approach to rail transportation of hazardous materials with demand due dates," European Journal of Operational Research, Elsevier, vol. 261(1), pages 154-168.
    6. Chen, Yuh-Wen & Wang, Chi-Hwang & Lin, Sain-Ju, 2008. "A multi-objective geographic information system for route selection of nuclear waste transport," Omega, Elsevier, vol. 36(3), pages 363-372, June.
    7. 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.
    8. Laijun Zhao & Ying Qian & Qing-Mi Hu & Ran Jiang & Meiting Li & Xulei Wang, 2018. "An Analysis of Hazardous Chemical Accidents in China between 2006 and 2017," Sustainability, MDPI, vol. 10(8), pages 1-18, August.
    9. Cunrui Ma & Baohua Mao & Qi Xu & Guodong Hua & Sijia Zhang & Tong Zhang, 2018. "Multi-Depot Vehicle Routing Optimization Considering Energy Consumption for Hazardous Materials Transportation," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alvaro Rodríguez-Prieto & Mariaenrica Frigione & John Kickhofel & Ana M. Camacho, 2021. "Analysis of the Technological Evolution of Materials Requirements Included in Reactor Pressure Vessel Manufacturing Codes," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    2. Liping Liu & Jiaming Li & Lei Zhou & Tijun Fan & Shuxia Li, 2021. "Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    3. Radovan Šomplák & Jiří Kropáč & Jaroslav Pluskal & Martin Pavlas & Boris Urbánek & Petra Vítková, 2022. "A Multi-Commodity Mathematical Modelling Approach—Hazardous Waste Treatment Infrastructure Planning in the Czech Republic," Sustainability, MDPI, vol. 14(6), pages 1-20, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liping Liu & Jiaming Li & Lei Zhou & Tijun Fan & Shuxia Li, 2021. "Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    2. Xiaoyan Jia & Ruichun He & Chunmin Zhang & Huo Chai, 2018. "A Bi-Level Programming Model of Liquefied Petroleum Gas Transportation Operation for Urban Road Network by Period-Security," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    3. Noguchi, H. & Hienuki, S. & Fuse, M., 2020. "Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    4. Dell'Olmo, Paolo & Gentili, Monica & Scozzari, Andrea, 2005. "On finding dissimilar Pareto-optimal paths," European Journal of Operational Research, Elsevier, vol. 162(1), pages 70-82, April.
    5. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    6. Court, Christa D. & Munday, Max & Roberts, Annette & Turner, Karen, 2015. "Can hazardous waste supply chain ‘hotspots’ be identified using an input–output framework?," European Journal of Operational Research, Elsevier, vol. 241(1), pages 177-187.
    7. Mohri, Seyed Sina & Mohammadi, Mehrdad & Gendreau, Michel & Pirayesh, Amir & Ghasemaghaei, Ali & Salehi, Vahid, 2022. "Hazardous material transportation problems: A comprehensive overview of models and solution approaches," European Journal of Operational Research, Elsevier, vol. 302(1), pages 1-38.
    8. Yue Lu & Maoxiang Lang & Xueqiao Yu & Shiqi Li, 2019. "A Sustainable Multimodal Transport System: The Two-Echelon Location-Routing Problem with Consolidation in the Euro–China Expressway," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    9. Mehdi Ansari & Juan S. Borrero & Leonardo Lozano, 2023. "Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 83-103, January.
    10. Ke, Ginger Y. & Zhang, Huiwen & Bookbinder, James H., 2020. "A dual toll policy for maintaining risk equity in hazardous materials transportation with fuzzy incident rate," International Journal of Production Economics, Elsevier, vol. 227(C).
    11. Overholts II, Dale L. & Bell, John E. & Arostegui, Marvin A., 2009. "A location analysis approach for military maintenance scheduling with geographically dispersed service areas," Omega, Elsevier, vol. 37(4), pages 838-852, August.
    12. Giovanny Pillajo-Quijia & Blanca Arenas-Ramírez & Camino González-Fernández & Francisco Aparicio-Izquierdo, 2020. "Influential Factors on Injury Severity for Drivers of Light Trucks and Vans with Machine Learning Methods," Sustainability, MDPI, vol. 12(4), pages 1-28, February.
    13. Xin, Li & Xi, Chen & Sagir, Mujgan & Wenbo, Zhang, 2023. "How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    14. Murray, Alan T., 2021. "Contemporary optimization application through geographic information systems," Omega, Elsevier, vol. 99(C).
    15. Zajac, Sandra & Huber, Sandra, 2021. "Objectives and methods in multi-objective routing problems: a survey and classification scheme," European Journal of Operational Research, Elsevier, vol. 290(1), pages 1-25.
    16. Molin Sun & Zhongyi Zheng & Longhui Gang, 2018. "Uncertainty Analysis of the Estimated Risk in Formal Safety Assessment," Sustainability, MDPI, vol. 10(2), pages 1-16, January.
    17. Tuqiang Zhou & Junyi Zhang & Dashzeveg Baasansuren, 2018. "A Hybrid HFACS-BN Model for Analysis of Mongolian Aviation Professionals’ Awareness of Human Factors Related to Aviation Safety," Sustainability, MDPI, vol. 10(12), pages 1-20, November.
    18. Bahareh Inanloo & Berrin Tansel & Xia Jin & Anna Bernardo-Bricker, 2016. "Cargo-specific accidental release impact zones for hazardous materials: risk and consequence comparison for ammonia and hydrogen fluoride," Environment Systems and Decisions, Springer, vol. 36(1), pages 20-33, March.
    19. Xiao, Jie & Pachl, Joern & Lin, Boliang & Wang, Jiaxi, 2018. "Solving the block-to-train assignment problem using the heuristic approach based on the genetic algorithm and tabu search," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 148-171.
    20. David M. Goldberg & Jason K. Deane & Cliff T. Ragsdale, 2018. "Integrating Spatial Analytics in Global Sourcing Decisions," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 709-739, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6300-:d:285241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.