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Risk Assessment of Import Cold Chain Logistics Based on Entropy Weight Matter Element Extension Model: A Case Study of Shanghai, China

Author

Listed:
  • Qiang Fu

    (College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Yurou Sun

    (College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Lei Wang

    (College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China)

Abstract

The development of world trade and fresh-keeping technology has led to the rapid development of international cold chain logistics. However, the novel coronavirus epidemic continues to spread around the world at the present stage, which challenges disease transmission control and safety supervision of international cold chain logistics. Constructing an Import Cold Chain Logistics Safety Supervision System (ICCL-SSS) is helpful for detecting and controlling disease import risk. This paper constructs an evaluation index system of ICCL safety that comprehensively considers the potential risk factors of three ICCL processes: the logistics process in port, the customs clearance process, and the logistics process from port to door. The risk level of ICCL-SSS is evaluated by combining the Extension Decision-making Model and the Entropy Weight Method. The case study of Shanghai, China, the world’s largest city of ICCL, shows that the overall risk level of ICCL-SSS in Shanghai is at a moderate level. However, the processes of loading and unloading, inspection and quarantine, disinfection and sterilization, and cargo storage are at high risk specifically. The construction and risk assessment of ICCL-SSS can provide theoretical support and practical guidance for improving the safety supervision ability of ICCL regulation in the post-epidemic era, and helps the local government to scientifically formulate ICCL safety administration policies and accelerate the development of world cold chain trade.

Suggested Citation

  • Qiang Fu & Yurou Sun & Lei Wang, 2022. "Risk Assessment of Import Cold Chain Logistics Based on Entropy Weight Matter Element Extension Model: A Case Study of Shanghai, China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16892-:d:1005028
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    References listed on IDEAS

    as
    1. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint," IJERPH, MDPI, vol. 15(1), pages 1-17, January.
    2. Yuangang Li & Maohua Sun & Guanghui Yuan & Yujing Liu, 2019. "Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    3. Jie Chang & Xiaojun Zuo & Botao Hou & Lipeng Shi & Guanghua Zhang & Zhihan Lv, 2021. "Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm," Complexity, Hindawi, vol. 2021, pages 1-12, June.
    4. Adarsh Kumar Singh & Nachiappan Subramanian & Kulwant Singh Pawar & Ruibin Bai, 2018. "Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation," Annals of Operations Research, Springer, vol. 270(1), pages 433-457, November.
    5. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    6. Yuexiang Yang & Xiaoyu Zheng & Zhen Sun, 2020. "Coal Resource Security Assessment in China: A Study Using Entropy-Weight-Based TOPSIS and BP Neural Network," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
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