Road freight is not only a basic service industry for the national economy development, but also a sub-sector that the largest in size, the largest number of practitioners, the highest degree of marketisation, and people's production and life closely related to the transportation industry. Container road transportation as a main transportation modes of port distribution, is a segment market of logistics. With the development of market, road container transport freight index has been widely concerned by the whole society. This paper uses Spearman rank correlation coefficient and stationarity test, cointegration test and impulse corresponding analysis based on VAR model to explore the influencing factors on road container transport freight index with case study of Ningbo. The results show that there is a positive correlation between road container transport freight index in Ningbo and regional macro factors and operating cost factors. Additionally, the fluctuation of freight rate has a certain relationship with the influencing factors.
In recent years, the carbon emissions in the transport sector have been maintained at annual growth rate over 5%, making it one of the major sources of Greenhouse Gas (GHG) emissions in China. In the background of low-carbon transformation, the "carbon peaking and carbon neutrality" target has put forward higher requirements for energy saving and carbon reduction in the transport sector. Heavy-duty trucks are a major energy consumer in the transport sector and are a key area for carbon neutrality. With the theory of human-machine-environment system engineering, this research figures out the factors affecting the energy consumption of vehicles. Based on the dynamic data of Heavy-duty trucks Global Positioning System (GPS), the research uses big data processing and statistical analysis to estimate the CO2 emissions of heavy-duty trucks over 12 tons in China and puts forward relevant policy suggestions for the development of energy-saving and carbon-reduction in the road freight industry. This paper provides theoretical support and reference for the green transformation of China's transportation industry.
Due to globalization and the shift of economic centres, Asia, especially China, has received increasing attention. International Maritime Centres (IMCs) play an essential role in the shipping and global trade industry. Shanghai IMC develops rapidly and has become a strong competitor compared with other IMCs. Traditional IMCs with historical heritage, such as London, not only face these severe challenges but also need to update with the fast development of technologies and the times. This research establishes a Competitiveness Model from six aspects, which includes six aggregate and 17 sub-indicators, to study IMCs competitiveness, and use Shanghai and London IMCs as case study to analyze the competitiveness in the maritime industry. The result shows that Shanghai IMC is developing rapidly, and it has strong competitiveness in both hardware facilities and soft power, and it will be another top IMC in the future. London has a long history as a traditional IMC. The functions of London have gradually shifted from the port business to providing excellent maritime business services. Therefore, these two IMCs not only have competition but also have cooperation for further development. This study contributes to the maritime and cluster literature by offering a new evaluation model to analyze IMCs competitiveness from soft and hard power and confirming the role of this issue in improving the shipping industry. In practice, this model provides a set of fair criteria to quantify the performance of IMCs in the industry and clear the future direction, and the implications are offered for the government or companies placing regulations or management for IMCs development.
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