Skip to main content

Design and Implementation of Rural Three-Level Logistics Distribution System Based on Cloud Computing

  • Conference paper
  • First Online:
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)


With the continuous development of cloud computing (CC) and the logistics industry, the construction of a logistics distribution system based on CC has become an important research topic for the development of the logistics industry. The construction of rural logistics distribution system is an important part of our country’s logistics development. In order to promote the development of e-commerce, it is necessary to establish and improve the rural three-level logistics distribution system. The purpose of this paper is to study the design and realization of the rural three-level logistics distribution system based on CC. Starting from CC technology, this article takes H County as an example, and investigates the development background of the county-township-village three-level logistics system in H County through questionnaire surveys and field visits, and introduces the development status and development status of the county’s logistics system. This paper clarifies that the logistics system is mainly composed of the three levels of “county-township-village” with matching distribution nodes and a standard public logistics information platform. The three-level logistics of “county-township-village” based on CC is constructed. Survey data shows that among 278 people, 56.12% think that delivery speed is very important, and 46.76% think that package integrity is very important. It can be seen that local residents have great opinions on the speed of distribution, so rural logistics and distribution need to increase their efforts to improve the speed of distribution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


  1. Guiffrida, A.L., Dey, A., Laguardia, P., et al.: Building sustainability in logistics operations: a research agenda. Manag. Res. Rev. 34(11), 1237–1259 (2016)

    Google Scholar 

  2. Lai, M., Yang, H., Yang, S., et al.: Cyber-physical logistics system-based vehicle routing optimization. J. Industr. Manag. Optim. 10(3), 701–715 (2017)

    MathSciNet  MATH  Google Scholar 

  3. Qu, T., Lei, S.P., Wang, Z.Z., Nie, D.X., Chen, X., Huang, G.Q.: IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int. J. Adv. Manuf. Technol. 84(1–4), 147–164 (2015).

    Article  Google Scholar 

  4. Ahluwalia, P.K., et al.: Multi-objective reverse logistics model for integrated computer waste management. Waste Manag. Res. 24(6), 514–527 (2016)

    Google Scholar 

  5. Graves, S.C., Bhatnagar, R., Cheong, M.: Logistics network design with supplier consolidation hubs and multiple shipment options. J. Ind. Manag. Optim. 3(1), 51–69 (2017)

    MathSciNet  MATH  Google Scholar 

  6. Arvis, J.F., Saslavsky, D., Ojala, L., et al.: Trade logistics in the global economy: the logistics performance index and its indicators. World Bank Other Oper. Stud. 88(5), 400 (2016)

    Google Scholar 

  7. Lee, D.-H., Bian, W., et al.: Multiobjective model and solution method for integrated forward and reverse logistics network design for third-party logistics providers. Transp. Res. Rec. 2032(1), 43–52 (2018).

    Google Scholar 

  8. Feng, Z.: Constructing rural e-commerce logistics model based on ant colony algorithm and artificial intelligence method. Soft. Comput. 24(11), 7937–7946 (2019).

    Article  Google Scholar 

  9. Liu, W.: Route optimization for last-mile distribution of rural e-commerce logistics based on ant colony optimization. IEEE Access 8, 12179–12187 (2020)

    Google Scholar 

  10. Gong, X.: Coupling coordinated development model of urban-rural logistics and empirical study. Math. Probl. Eng. 2019(3–4), 1–12 (2019)

    Google Scholar 

  11. Huang, L., Xie, G., Li, D., et al.: Predicting and analysing e-logistics demand in urban and rural areas: an empirical approach on historical data of China. Int. J. Perform. Eng. 14(7), 1550–1559 (2018)

    Google Scholar 

  12. Huang, L., Xie, G., Zhao, W., et al.: Empirical analysis for e-integrated logistics pattern between urban and rural area: from economic and geographic perspective. Boletin Tecnico/Tech. Bull. 55(1), 65–76 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, S. (2022). Design and Implementation of Rural Three-Level Logistics Distribution System Based on Cloud Computing. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham.

Download citation

Publish with us

Policies and ethics