This article selected six parameters—logistics performance index, proportion of third-party logistics services, relationship between intensity ratio of freight per unit of GDP, total logistics costs to GDP ratio, proportion of intermodal freight traffic, GDP per unit of energy use, and other indicators—to evaluate the service level of freight and logistics of Shandong Province and to analyze influencing factors. Typical cases were selected to expand the comparative studies both at home and abroad to fully draw on the experiences of advanced countries to determine the direction of freight and logistics future development in Shandong Province.
Improving the Service Level of Freight and Logistics for Shandong Province
16th COTA International Conference of Transportation Professionals ; 2016 ; Shanghai, China
CICTP 2016 ; 446-452
2016-07-01
Conference paper
Electronic Resource
English