Choice Factors of Transshipment Port in Northeast Asia

Park, Nam-Kyu; Lim, Chae-Kwan

doi:10.5394/kinpr.2009.33.7.491

Cited by 4 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The OECD [63] estimated that transshipment traffic in Shanghai is not as high as it is in Singapore or Hong Kong (proportionally), but it is one-fifth of the overall volume. Park & Lim [64] estimated that in the year 2007 transshipment volume of Shanghai was above 9 million TEU.…”

Section: Data Collectionmentioning

confidence: 99%

Container Sea Ports and Dry Ports: Future CO2 Emission Reduction Potential in China

Hilmola

Panova

2019

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Data Collectionmentioning

confidence: 99%

Container Sea Ports and Dry Ports: Future CO2 Emission Reduction Potential in China

Hilmola

Panova

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Issues such as the impact of using low-sulfur fuel in maritime transport (Vaferi, Ghaderi, and Jeevan 2017), the effectiveness of pro-ecological solutions used in the latest generation of seaports (di Vaio and Varriale 2018), and the impact of dry ports on the effectiveness of marine nodes (Jeevan, Chen, and Cahoon 2019) have also been included in the research on the competitiveness of seaports. Some authors have used Data Envelopment Analysis (DEA) (Cruz and Ferreira 2016;Kuo, Lu, and Le 2020;Nguyen et al 2021;Wang et al 2021) and multi-criteria methods to study the competitiveness of marine reloading and storage bases (Bartosiewicz 2020a;2020b;Elgazzar and Ismail 2021;Park 2021). At the same time, only a few authors have dealt with the issue of the competitiveness of seaports in the Baltic Sea Region (BSR) (Matczak 2016;Kotowska 2017;Bartosiewicz and Szterlik 2021).…”

Section: Introductionmentioning

confidence: 99%

Multi‑criteria Analysis of the Competitiveness of Major Baltic Sea Container Terminals

Bartosiewicz

Jadczak

2023

CER

View full text Add to dashboard Cite

The rapid growth in the volume of international container transport requires that the entire transport chain become more competitive, including maritime container terminals. The aim of the article is to identify the number and location of major Baltic container terminals and to perform a multi‑criteria analysis of the competitiveness of maritime container terminals in the Baltic Sea Region (BSR). In our study, we perform the AHP multi‑criteria analysis with subjective criteria weights, as well as the entropy method with objective criteria weights. Thus, we can evaluate the competitive advantages of each of the specified terminals in the region. We are among the first to study the competitiveness of individual maritime container terminals in the BSR. Thus, our research adds to the literature that has yielded results on the competitive advantage of the Baltic seaports.

show abstract

Economic analysis for container shipping route

Hua

Zhang

2015

2015 International Conference on Logistics, Informatics and Service Sciences (LISS)

View full text Add to dashboard Cite

Choice Factors of Transshipment Port in Northeast Asia

Cited by 4 publications

References 1 publication

Container Sea Ports and Dry Ports: Future CO2 Emission Reduction Potential in China

Container Sea Ports and Dry Ports: Future CO2 Emission Reduction Potential in China

Multi‑criteria Analysis of the Competitiveness of Major Baltic Sea Container Terminals

Economic analysis for container shipping route

Contact Info

Product

Resources

About