Abstract
Nowadays, China dominates logistics volumes, and its container logistics is associated with the largest sea ports, such as Shanghai, Shenzhen, and Ningbo. However, China’s coastal line is long and contains numerous million-container-handling sea ports. Current leading sea ports are located mostly in the south or at the middle point of the coastal line. Volumes are rather concentrated in these few areas. Despite the fact that China’s vast population is well-spread throughout the coastal line, major cities are also located in the hinterlands. Apart from some regions (e.g., the Pearl and the Yangtze River Delta) where there are many cities that are very close to each other, distances between cities are rather long in general. Therefore, this research examines the CO2 emission reduction potential of using a larger number of sea ports (such as distribution hubs), as well as the interaction of these with analytically chosen dry ports. Results of the hypothetical country level container transportation model, using linear integer programming concerning 51 cities (largest hinterland and container sea port cities), showed that better and more equal use of sea ports serving the major cities will result in considerable emission reductions. This is the case, even if hinterland transport is completely based on road transports. However, in a situation where the dry port structure with railways is further applied, the results showed that it should be concentrated on a few hinterland points first, but also assure that most remote, million-people city locations get priority for the railway.
Highlights
For a long time in the world, under globalization effects, trade and transportation logistics were seen as truly beneficial and factors that should be further supported
In the linear integer programming model used, it was asked for the program to find the lowest amount of hinterland distribution to all 51 cities and sea ports
The model started to produce similar kind of shares to what sea ports had in real-life
Summary
For a long time in the world, under globalization effects, trade and transportation logistics were seen as truly beneficial and factors that should be further supported. In this research, using linear integer programming models, we have illustrated that in the 51 cities and in the numerous larger scale sea ports along the long coastal line of China, the sea port system contains a hidden emission reduction potential (sea ports acting like dry ports [20] and differences in the dry port system analyzed in Reference [21]). This research will illustrate after using sea ports as dry ports that hinterland dry ports implemented in this system will bring additional emission reductions Overall, they are together a powerful concept for any country having a longer coastal line, numerous container sea ports, and dry port development emphasis.
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