IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p1104-d318539.html
   My bibliography  Save this article

Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Author

Listed:
  • Sheng Dong

    (School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China
    College of Transportation Engineering, Tongji University, Shanghai 200082, China)

  • Jibiao Zhou

    (College of Transportation Engineering, Tongji University, Shanghai 200082, China
    Intelligent Transport System (ITS) R & D Center, Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai 200082, China)

  • Changxi Ma

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

With economic development, the volume of hazardous materials is increasing, and the potential risks to human beings and the natural environment are expanding. Road transportation has become the main mode of transportation for hazardous materials. Because of the specific characteristics of hazardous materials, if an accident occurs in the transportation process, it often causes mass casualties, serious property and socioeconomic damage, and damage to the ecological environment. Hence, transportation is an important part of the life cycle of hazardous materials. This paper designs an optimization platform for multidestination, multiterminal, and multivehicle networks that transport hazardous materials. The logistics module in TransCAD software is used to construct this platform. By identifying the effective transportation routes considering the transportation risk, sensitive target population, and transportation time of each road section, the entropy method can be used to fuse and obtain the comprehensive impedance value of each road section. Finally, the optimal transportation network of hazardous materials was obtained by the transportation network optimization algorithm in TransCAD. The platform can display the optimal transport program with data windows, text, and maps. The research results provide a reference for relevant departments to scientifically manage the transport of hazardous materials.

Suggested Citation

  • Sheng Dong & Jibiao Zhou & Changxi Ma, 2020. "Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:1104-:d:318539
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/1104/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/1104/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N., 2004. "A heuristic algorithm for solving hazardous materials distribution problems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 507-519, January.
    2. Francisco López-Ramos & Stefano Nasini & Armando Guarnaschelli, 2019. "Road network pricing and design for ordinary and hazmat vehicles: Integrated model and specialized local search," Post-Print hal-02510066, HAL.
    3. George F. List & Pitu B. Mirchandani & Mark A. Turnquist & Konstantinos G. Zografos, 1991. "Modeling and Analysis for Hazardous Materials Transportation: Risk Analysis, Routing/Scheduling and Facility Location," Transportation Science, INFORMS, vol. 25(2), pages 100-114, May.
    4. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    5. Rajan Batta & Samuel S. Chiu, 1988. "Optimal Obnoxious Paths on a Network: Transportation of Hazardous Materials," Operations Research, INFORMS, vol. 36(1), pages 84-92, February.
    6. Changxi Ma & Wei Hao & Fuquan Pan & Wang Xiang, 2018. "Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-22, June.
    7. Changxi Ma & Wei Hao & Ruichun He & Bahman Moghimi, 2018. "A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-12, October.
    8. Xifei Huang & Xinhao Wang & Jingjing Pei & Ming Xu & Xiaowu Huang & Yun Luo, 2018. "Risk assessment of the areas along the highway due to hazardous material transportation accidents," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(3), pages 1181-1202, September.
    9. Ghaderi, Abdolsalam & Burdett, Robert L., 2019. "An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 49-65.
    10. Jibiao Zhou & Yanyong Guo & Sheng Dong & Minjie Zhang & Tianqi Mao, 2019. "Simulation of pedestrian evacuation route choice using social force model in large-scale public space: Comparison of five evacuation strategies," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-24, September.
    11. 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.
    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. Monika Blišťanová & Peter Koščák & Michaela Tirpáková & Magdaléna Ondicová, 2023. "A Cross-Comparative Analysis of Transportation Safety Research," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    2. Liping Liu & Qing Wu & Shuxia Li & Ying Li & Tijun Fan, 2021. "Risk Assessment of Hazmat Road Transportation Considering Environmental Risk under Time-Varying Conditions," IJERPH, MDPI, vol. 18(18), pages 1-19, September.
    3. Shuxia Li & Yuedan Zu & Huimin Fang & Liping Liu & Tijun Fan, 2021. "Design Optimization of a HAZMAT Multimodal Hub-and-Spoke Network with Detour," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

    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. 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.
    2. Changxi Ma & Jibiao Zhou & Dong Yang, 2020. "Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model," IJERPH, MDPI, vol. 17(4), pages 1-25, February.
    3. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    4. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    5. Szeto, W.Y. & Farahani, R.Z. & Sumalee, Agachai, 2017. "Link-based multi-class hazmat routing-scheduling problem: A multiple demon approach," European Journal of Operational Research, Elsevier, vol. 261(1), pages 337-354.
    6. Changxi Ma & Wei Hao & Fuquan Pan & Wang Xiang, 2018. "Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-22, June.
    7. 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.
    8. Zhang, Lukai & Feng, Xuesong & Chen, Dalin & Zhu, Nan & Liu, Yi, 2019. "Designing a hazardous materials transportation network by a bi-level programming based on toll policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    9. Ginger Y. Ke, 2022. "Managing rail-truck intermodal transportation for hazardous materials with random yard disruptions," Annals of Operations Research, Springer, vol. 309(2), pages 457-483, February.
    10. 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.
    11. Mohri, Seyed Sina & Asgari, Nasrin & Zanjirani Farahani, Reza & Bourlakis, Michael & Laker, Benjamin, 2020. "Fairness in hazmat routing-scheduling: A bi-objective Stackelberg game," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    12. Zhang, Meng & Wang, Nengmin & He, Zhengwen & Jiang, Bin, 2021. "Vehicle routing optimization for hazmat shipments considering catastrophe avoidance and failed edges," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    13. Shuxia Li & Yuedan Zu & Huimin Fang & Liping Liu & Tijun Fan, 2021. "Design Optimization of a HAZMAT Multimodal Hub-and-Spoke Network with Detour," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    14. Xiuguang Song & Jianqing Wu & Hongbo Zhang & Rendong Pi, 2020. "Analysis of Crash Severity for Hazard Material Transportation Using Highway Safety Information System Data," SAGE Open, , vol. 10(3), pages 21582440209, July.
    15. Zandieh, Fatemeh & Ghannadpour, Seyed Farid, 2023. "A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem," European Journal of Operational Research, Elsevier, vol. 305(2), pages 685-707.
    16. Amirsaman Kheirkhah & HamidReza Navidi & Masume Messi Bidgoli, 2016. "A bi-level network interdiction model for solving the hazmat routing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 459-471, January.
    17. Diaz-Banez, J. M. & Mesa, J. A. & Schobel, A., 2004. "Continuous location of dimensional structures," European Journal of Operational Research, Elsevier, vol. 152(1), pages 22-44, January.
    18. Wu, Weitiao & Ma, Jian & Liu, Ronghui & Jin, Wenzhou, 2022. "Multi-class hazmat distribution network design with inventory and superimposed risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    19. Abdelkader Sbihi & Richard W. Eglese, 2007. "The Relationship between Vehicle Routing & Scheduling and Green Logistics - A Literature Survey," Working Papers hal-00644133, HAL.
    20. Lundin, Johan F., 2012. "Redesigning a closed-loop supply chain exposed to risks," International Journal of Production Economics, Elsevier, vol. 140(2), pages 596-603.

    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:jijerp:v:17:y:2020:i:3:p:1104-:d:318539. 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.