Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Developing Spatial Structure of Air Logistics Network in Beijing-Tianjin-Heibei Based on SNA and Gravity Model

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

In order to optimize the existing route network, this paper studies the structure and layout of air logistics network in Beijing-Tianjin-Heibei region, collects relevant data, uses gravity model to analyze the comprehensive logistics service capability of each node in the route network, and calculates the logistics connection value between each node. Using social network analysis method and UCINET software, this paper analyses the air logistics network from the aspects of network density, centrality, cohesive subgroup, and core-edge structure. The results show that the degree of air logistics linkages between node cities in Beijing-Tianjin-Hebei region is at a medium level, but the large standard deviation of density indicates that the polarization is serious; meanwhile, the linkages between core cities and peripheral cities are poor, which show a clear core-edge structure. Through the above analysis, it is concluded that the resources of this region should be coordinated and complemented, and from this perspective, the airports in the region have been re-positioned in this paper.

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REFERENCES

Daghigh, R., Pishvaee, M. S., and Torabi, S. A. (2017). “Sustainable logistics network design under uncertainty.” Sustainable Logistics and Transportation, 129, 115-151.
Du, Q. Y. (2018). Study on the Spatial Structure of Regional Logistics in Central Plains Urban Agglomeration. Ph.D. Dissertation. Kaifeng: Henan University.
Fu, J. Y. (2016). Research on model and algorithm of spatial structure agglomeration and diffusion of urban logistics network. Ph.D. Dissertation. Chengdu: Southwest Jiaotong University.
Hatefi, S. M., Jolai, F., Torabi, S. A., and Tavakkoli-Moghaddam, R. (2015). “Reliable design of an integrated forward-revere logistics network under uncertainty and facility disruptions: a fuzzy possibilistic programing model.” KSCE Journal of Civil Engineering, 19(4), 1117-1128.
Simpson, N., Tacheva, Z., and Kao, T., W. (2018). “Social network analysis in the context of humanitarian logistics.” The Palgrave Handbook of Humanitarian Logistics and Supply Chain Management, 3-39.
Sun, Q. (2015). Research on optimization of aviation network spatial structure-a case of Hainan Airlines. M.A. Thesis. Chengdu: Southwest University for Nationalities.
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Ye, J., and Haasis, H. D. (2018). “Impacts of the BRI on International Logistics Network.” International Conference on Dynamics in Logistics. Springer, Cham.

Information & Authors

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 255 - 262
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

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Huihui Xiao [email protected]
School of Air Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
School of Air Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
Hongguang Yao [email protected]
School of Air Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]

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