IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10295-d891785.html
   My bibliography  Save this article

Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization

Author

Listed:
  • Yongqiang Zhang

    (College of Automobile and Transport Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Zhuang Hu

    (Gosuncn Technology Group Co., Ltd., Guangzhou 510663, China)

  • Min Zhang

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Wenting Ba

    (College of Automobile and Transport Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Ying Wang

    (College of Automobile and Transport Engineering, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Western China is a sparsely populated area with dispersed transportation infrastructure, making it challenging to meet people’s accessibility and mobility requirements. Rescue efficiency in sparse networks is severely hampered by the difficulty rescue teams have in getting to the scene of abrupt traffic accidents. This paper develops a layout optimization model for multiple rescue points to address this issue, suggests an improved particle swarm algorithm by including a variation that can reduce optimization time and avoid the disadvantage of precocity, and designs a MATLAB program using an adaptive variation algorithm. The proposed approach increases the effectiveness of rescue in a sparse network and optimizes the distribution of emergency resources.

Suggested Citation

  • Yongqiang Zhang & Zhuang Hu & Min Zhang & Wenting Ba & Ying Wang, 2022. "Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10295-:d:891785
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10295/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/16/10295/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhun Cheng & Yuting Chen & Wenjie Li & Pengfei Zhou & Junhao Liu & Li Li & Wenjuan Chang & Yu Qian, 2022. "Optimization Design Based on I-GA and Simulation Test Verification of 5-Stage Hydraulic Mechanical Continuously Variable Transmission Used for Tractor," Agriculture, MDPI, vol. 12(6), pages 1-13, June.
    2. Xingchen Yan & Tao Wang & Xiaofei Ye & Jun Chen & Zhen Yang & Hua Bai, 2018. "Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    3. 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.
    4. Xingchen Yan & Tao Wang & Jun Chen & Xiaofei Ye & Zhen Yang & Hua Bai, 2019. "Analysis of the Characteristics and Number of Bicycle–Passenger Conflicts at Bus Stops for Improving Safety," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    5. Huang, Wencheng & Li, Linqing & Liu, Hongyi & Zhang, Rui & Xu, Minhao, 2021. "Defense resource allocation in road dangerous goods transportation network: A Self-Contained Girvan-Newman Algorithm and Mean Variance Model combined approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Loree, Nick & Aros-Vera, Felipe, 2018. "Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 1-24.
    7. Wei Wang & Li Huang & Zhaoxia Guo, 2017. "Optimization of Emergency Material Dispatch from Multiple Depot Locations to Multiple Disaster Sites," Sustainability, MDPI, vol. 9(11), pages 1-8, October.
    8. Caunhye, Aakil M. & Zhang, Yidong & Li, Mingzhe & Nie, Xiaofeng, 2016. "A location-routing model for prepositioning and distributing emergency supplies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 161-176.
    9. Zhun Cheng & Zhixiong Lu, 2022. "Regression-Based Correction and I-PSO-Based Optimization of HMCVT’s Speed Regulating Characteristics for Agricultural Machinery," Agriculture, MDPI, vol. 12(5), pages 1-18, April.
    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. Robert Rijavec & Rok Marsetič & Irena Strnad, 2023. "Towards Optimal TMS Integration Scenario Based on HRM and SWOT Analysis," Sustainability, MDPI, vol. 15(13), pages 1-14, June.

    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. Mustafa Ucgul & Chung-Liang Chang, 2023. "Design and Application of Agricultural Equipment in Tillage Systems," Agriculture, MDPI, vol. 13(4), pages 1-3, March.
    2. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. Ghavamifar, Ali & Torabi, S. Ali & Moshtari, Mohammad, 2022. "A hybrid relief procurement contract for humanitarian logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    4. Xiaofei Ye & Yi Zhu & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Level of Service Model of the Non-Motorized Vehicle Crossing the Signalized Intersection Based on Riders’ Perception Data," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    5. Liu, Kanglin & Zhang, Hengliang & Zhang, Zhi-Hai, 2021. "The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    6. Li, Yuchen & Zhang, Jianghua & Yu, Guodong, 2020. "A scenario-based hybrid robust and stochastic approach for joint planning of relief logistics and casualty distribution considering secondary disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    7. Yuting Chen & Zhun Cheng & Yu Qian, 2022. "Research on Wet Clutch Switching Quality in the Shifting Stage of an Agricultural Tractor Transmission System," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    8. Wang, Yusheng & Dong, Zhijie Sasha & Hu, Shaolong, 2021. "A stochastic prepositioning model for distribution of disaster supplies considering lateral transshipment," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    9. Meng, Lingpeng & Wang, Xudong & He, Junliang & Han, Chuanfeng & Hu, Shaolong, 2023. "A two-stage chance constrained stochastic programming model for emergency supply distribution considering dynamic uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    10. Batac, Rene C. & Cirunay, Michelle T., 2022. "Shortest paths along urban road network peripheries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    11. Sarhadi, Hassan & Naoum-Sawaya, Joe & Verma, Manish, 2020. "A robust optimization approach to locating and stockpiling marine oil-spill response facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    12. Dan Zhou & Mengying Chang & Guobin Gu & Xin Sun & Huizhi Xu & Wenhan Wang & Tao Wang, 2022. "Analysis of Risky Driving Behavior of Urban Electric Bicycle Drivers for Improving Safety," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    13. Changshi Liu & Gang Kou & Yi Peng & Fawaz E. Alsaadi, 2019. "Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    14. Diehlmann, Florian & Klein, Miriam & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "On the value of accurate demand information in public-private emergency collaborations," Working Paper Series in Production and Energy 51, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    15. 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).
    16. Zhijie Sasha Dong & Lingyu Meng & Lauren Christenson & Lawrence Fulton, 2021. "Social media information sharing for natural disaster response," 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(3), pages 2077-2104, July.
    17. Jiawei Ge & Xiang Li & Zhuoling Wu & Yurou Sun & Maneerat Kanrak, 2022. "The Distribution of Emergency Logistics Centers under the COVID-19 Lockdown: The Case of Yangtze River Delta Area," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    18. Fan, Yu & Shao, Jianfang & Wang, Xihui & Liang, Liang, 2024. "Contract design between relief organisations and private-sector vendors: A humanitarian logistics framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    19. Tibor Sipos & Zsombor Szabó & Mohammed Obaid & Árpád Török, 2023. "Disaster Risk Assessment Scheme—A Road System Survey for Budapest," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    20. Izdebski, Mariusz & Jacyna-Gołda, Ilona & Gołda, Paweł, 2022. "Minimisation of the probability of serious road accidents in the transport of dangerous goods," Reliability Engineering and System Safety, Elsevier, vol. 217(C).

    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:19:y:2022:i:16:p:10295-:d:891785. 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.