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Academic Journal of Business & Management, 2023, 5(11); doi: 10.25236/AJBM.2023.051125.

Research on the Sales Model of Scenic Area Drone Logistics and Distribution—Taking Jueshan Scenic Area in Shanxi Province as an Example

Author(s)

Yuxuan Zhao, Shicheng Zhao, Haifeng Zhu, Kaizhou Zhu

Corresponding Author:
Haifeng Zhu
Affiliation(s)

College of Transportation Engineering, Tongji University, Shanghai, 201804, China

Abstract

Currently, logistics and distribution have spread almost all over the country, but the development of logistics business in mountainous spots is extremely slow. The delivery of drones in scenic spots has many advantages such as fast speed, high efficiency and low cost. If drones can be used to solve the problem of difficult delivery and expensive goods in scenic spots, they will certainly be able to stimulate tourists' consumption, which will in turn attract more tourists to the scenic spots and create higher revenue. Therefore, this paper synthesizes the current situation of logistics distribution in mountainous spots and the direction of development of modern logistics equipment, considers the influencing factors of all aspects, and conducts research on the sales mode of scenic spot drone logistics distribution.

Keywords

drones, logistics and distribution, mountainous areas

Cite This Paper

Yuxuan Zhao, Shicheng Zhao, Haifeng Zhu, Kaizhou Zhu. Research on the Sales Model of Scenic Area Drone Logistics and Distribution—Taking Jueshan Scenic Area in Shanxi Province as an Example. Academic Journal of Business & Management (2023) Vol. 5, Issue 11: 164-169. https://doi.org/10.25236/AJBM.2023.051125.

References

[1] Ma Lina, Du Y.S., Liu Shanshan. Research on the challenges and opportunities of big data analytics based on supply chain management perspective [J]. Service Science and Management, 2019.8(003):111-122.

[2] Dai Zhenjun. The development status and improvement measures of drone delivery [J]. Wireless Internet Technology, 2020.2(4):3-4.

[3] Liu J, Guan Z, Xie X. Truck and Drone in Tandem Route Scheduling under Sparse Demand Distribution[C]// 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS). School of Economics and Management Beijing Jiaotong University, Beijing, China, 2018.

[4] Zhang Kunwei, Bi Ran. Introduction to typical scenarios and development suggestions of 5G network UAV applications in China [J]. Information and communication technology and policy, 2018.11(11):83-84.

[5] Chen Xiaoting. Cheng LH. Wang Jiaxin, et al. UAV information transmission based on 5G network [J]. Electronic production, 2020. 9:5, 10-11. 

[6] Wang Huanhuan. Research analysis of logistics development strategy in tourist areas [J]. Logistics Engineering and Management, 2022, 44(08):32-34.

[7] Li M, Li J Y. Mathematical modeling analysis of logistics status and product sales in coastal area[C]// 2015 International Conference on Automation, Mechanical Control and Computational Engineering. 2015.

[8] Liu Taoning. Research on scenic area assessment and its distribution center site selection from low carbon perspective [D]. Xi'an University of Electronic Science and Technology, 2021. DOI: 10. 27389/ d. cnki.gxadu. 2021. 003478.

[9] Zhang Lijing. Study on optimization of logistics capacity of tourist attractions [J]. China Logistics and Purchasing, 2020(24): 63-64. doi: 10.16079/j.cnki.issn1671-6663. 2020.24.037.

[10] Lei Lei. Study on optimization of logistics management system in Huashan scenic area [D]. Xi'an University of Foreign Studies, 2020. doi: 10.27815/d.cnki.gxawd. 2020.000475.