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Aug.  2015
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HAO Jingjing, JI Xiaofeng. Spatial Optimization of the Logistics Network of Yunnan Province[J]. Journal of Transport Information and Safety, 2015, (4): 119-126. doi: 10.3963/j.issn1674-4861.2015.04.019
Citation: HAO Jingjing, JI Xiaofeng. Spatial Optimization of the Logistics Network of Yunnan Province[J]. Journal of Transport Information and Safety, 2015, (4): 119-126. doi: 10.3963/j.issn1674-4861.2015.04.019

Spatial Optimization of the Logistics Network of Yunnan Province

doi: 10.3963/j.issn1674-4861.2015.04.019
  • Publish Date: 2015-08-28
  • Logistics is an important supporting industry of the social and economic development.Reasonable spatial layout of logistics network can effectively promote the efficiency of regional logistics operation.A city logistics competitive measure index system was developed on basis of the four perspectives:economic development,logistics supply level,lo-gistics demand level and informationalized level.The logistics competitiveness of 1 6 cities in Yunnan province was evalua-ted by using principal component analysis of multi-source data.Based on the results of city logistics competitiveness meas-urement,the hub-and-spoke network model was used to optimize the logistics network in Yunnan province.The study concludes as follow:Firstly,Kunming,Qujing,Yuxi and Chuxiong as the center city,are the core of logistics hub-and-spoke network in Yunnan Province.A logistics circle of the city group is formed,which covers the whole Yunnan Prov-ince.Secondly,there are 1 1 cities including Zhaotong and Baoshan as the secondary nodes of cities,which have radiative surrounding county areas,where each county performances as tertiary logistics nodes.Meanwhile,the main and branch routes between each node are formed with the foundation of comprehensive transportation networks in Yunnan.The study also concludes that the hub-and-spoke logistics network structure has a high degree of spatial collaboration with the trans-portation networks in Yunnan,and it can effectively reduce logistics cost and improve the efficiency of logistics opera-tions.

     

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