IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7488-d588754.html
   My bibliography  Save this article

Sustainable Humanitarian Operations: Multi-Method Simulation for Large-Scale Evacuation

Author

Listed:
  • Bertha Maya Sopha

    (Industrial Engineering Program, Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada (UGM), Yogyakarta 55281, Indonesia)

  • Athaya Islami Triasari

    (Industrial Engineering Program, Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada (UGM), Yogyakarta 55281, Indonesia)

  • Lynette Cheah

    (Engineering Systems and Design, Singapore University of Technology and Design (SUTD), Singapore 487372, Singapore)

Abstract

Integrating sustainability in humanitarian operations has been seen as a promising approach toward effective and long-term solutions. During disaster emergency management, the evacuation determines the risk of loss in a disaster. To better understand the effectiveness of the evacuation plan while considering the sustainability standpoint, this paper develops a multi-method simulation (MMS) approach to evaluate evacuation time, load balance of the shelters, and CO 2 emission. The MMS integrating Agent-Based Modeling (ABM) and Discrete-Event Simulation (DES) incorporates evacuation decision-making and evacuation processes. Comparative analysis shows that the MMS outperforms the use of ABM solely. The simulation results indicate over-utilization and imbalanced load among the shelters, implying a need to expand shelters’ capacity and to revisit the evacuation plan concerning the location of the assembly points and the shelters and the resource allocation. Evacuation behavior heading to the nearest assembly point instead of the designated assembly point based on the evacuation plan worsens the imbalanced load among the shelters and results in higher CO 2 emissions by 8%. The results demonstrate the necessity to include evacuation decision-making (social dimension) on top of the technical dimension and to adopt sustainable performance indicators in planning the evacuation sustainably. Avenues for future research are also discussed.

Suggested Citation

  • Bertha Maya Sopha & Athaya Islami Triasari & Lynette Cheah, 2021. "Sustainable Humanitarian Operations: Multi-Method Simulation for Large-Scale Evacuation," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7488-:d:588754
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7488/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/13/7488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qodri Febrilian Erahman & Nadhilah Reyseliani & Widodo Wahyu Purwanto & Mahmud Sudibandriyo, 2019. "Modeling Future Energy Demand and CO 2 Emissions of Passenger Cars in Indonesia at the Provincial Level," Energies, MDPI, vol. 12(16), pages 1-25, August.
    2. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    3. X Chen & F B Zhan, 2008. "Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 25-33, January.
    4. MacGregor Smith, J., 1991. "State-dependent queueing models in emergency evacuation networks," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 373-389, December.
    5. Xuwei Chen & John Meaker & F. Zhan, 2006. "Agent-Based Modeling and Analysis of Hurricane Evacuation Procedures for the Florida Keys," 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. 38(3), pages 321-338, July.
    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. Abdessalem Jerbi & Haifa Jribi & Awad M. Aljuaid & Wafik Hachicha & Faouzi Masmoudi, 2022. "Design of Supply Chain Transportation Pooling Strategy for Reducing CO 2 Emissions Using a Simulation-Based Methodology: A Case Study," Sustainability, MDPI, vol. 14(4), pages 1-21, February.

    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. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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. 78(3), pages 1859-1882, September.
    2. Minjun Kim & Gi-Hyoug Cho, 2020. "Influence of Evacuation Policy on Clearance Time under Large-Scale Chemical Accident: An Agent-Based Modeling," IJERPH, MDPI, vol. 17(24), pages 1-18, December.
    3. CHEN, Helen S.Y., 2020. "Designing Sustainable Humanitarian Supply Chains," OSF Preprints m82ar, Center for Open Science.
    4. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    5. Firas Rifai, 2018. "Transfer of Knowhow and Experiences from Commercial Logistics into Humanitarian Logistics to Improve Rescue Missions in Disaster Areas," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(3), pages 1-63, August.
    6. Nagarajan, Magesh & Shaw, Duncan & Albores, Pavel, 2012. "Disseminating a warning message to evacuate: A simulation study of the behaviour of neighbours," European Journal of Operational Research, Elsevier, vol. 220(3), pages 810-819.
    7. Dilsu Binnaz Ozkapici & Mustafa Alp Ertem & Haluk Aygüneş, 2016. "Intermodal humanitarian logistics model based on maritime transportation in Istanbul," 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. 83(1), pages 345-364, August.
    8. Laobing Zhang & Gabriele Landucci & Genserik Reniers & Nima Khakzad & Jianfeng Zhou, 2018. "DAMS: A Model to Assess Domino Effects by Using Agent‐Based Modeling and Simulation," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1585-1600, August.
    9. Rafiei, Rezvan & Huang, Kai & Verma, Manish, 2022. "Cash versus in-kind transfer programs in humanitarian operations: An optimization program and a case study," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. 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.
    11. Yagci Sokat, Kezban & Dolinskaya, Irina S. & Smilowitz, Karen & Bank, Ryan, 2018. "Incomplete information imputation in limited data environments with application to disaster response," European Journal of Operational Research, Elsevier, vol. 269(2), pages 466-485.
    12. Lea Stadtler & Luk N. Wassenhove, 2023. "Between Intensity and Diversity: Leveraging the Role of Place in Cross-Sector Partnerships," Journal of Business Ethics, Springer, vol. 184(4), pages 773-791, May.
    13. Hu, Shaolong & Han, Chuanfeng & Dong, Zhijie Sasha & Meng, Lingpeng, 2019. "A multi-stage stochastic programming model for relief distribution considering the state of road network," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 64-87.
    14. Shangde Gao & Yan Wang, 2021. "Assessing the impact of geo-targeted warning messages on residents’ evacuation decisions before a hurricane using agent-based modeling," 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. 107(1), pages 123-146, May.
    15. Davis, Lauren B. & Samanlioglu, Funda & Qu, Xiuli & Root, Sarah, 2013. "Inventory planning and coordination in disaster relief efforts," International Journal of Production Economics, Elsevier, vol. 141(2), pages 561-573.
    16. Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
    17. Jorge León & Alan March, 2016. "An urban form response to disaster vulnerability: Improving tsunami evacuation in Iquique, Chile," Environment and Planning B, , vol. 43(5), pages 826-847, September.
    18. Donald F. Larson & Julian Lampietti & Christophe Gouel & Carlo Cafiero & John Roberts, 2014. "Food Security and Storage in the Middle East and North Africa," The World Bank Economic Review, World Bank, vol. 28(1), pages 48-73.
    19. Pruttipong Apivatanagul & Rachel Davidson & Linda Nozick, 2012. "Bi-level optimization for risk-based regional hurricane evacuation planning," 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. 60(2), pages 567-588, January.
    20. Aurelie Charles & Matthieu Lauras & Luk N. van Wassenhove & Lionel Dupont, 2016. "Designing an efficient humanitarian supply network," Post-Print hal-01532132, HAL.

    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:13:y:2021:i:13:p:7488-:d:588754. 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.