The role of dry port in hub-and-spoke network under Belt and Road Initiative

Dry port plays increasingly an important role in the integration of inland regions with seaports, and cross-border inland ports especially in the context of Belt and Road Initiative (BRI) originally proposed by China. This paper studies a logistics network connecting the inland regions by dry ports based on a two-stage logistical gravity model. First, a basic logistical gravity model is developed to analyze the radiated inland regions from dry ports, where the logistical quality of dry ports is calculated by principal component analysis. Second, considering mutual impacts among dry ports, seaports and cross-border inland ports, the influence of logistical gravity on the network is examined by using a coefficient based on the Ordered Weighted Averaging Operator in multi-attribute decision theory. An improved logistical gravity model is further developed to investigate the logistical connections among various ports (e.g. dry ports, seaports and cross-border inland ports; hub and feeder ports). Then, a hub-and-spoke network can be established. Dry ports are potential to connect to the Silk Road Economic Belt and the 21st-Century Maritime Silk Road. So a Chinese case is used to verify the proposed method. The strategies of embedding inland regions in the BRI are discussed based on the experimental studies.     

Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach

ABSTRACT

The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability. Maritime transportation poses risks of accidents that can cause the death or injury of crew members and damage to ships and the environment. This paper proposes a Bayesian network (BN) based risk analysis approach that is newly applied in the main route of the MSR to analyse its relevant maritime accidents. The risk data are manually collected from the reports of the accident that occurred along the MSR. Next, the risk factors are identified and the results from the modelling method can provide useful insights for accident prevention. Historical data collected from accident reports are used to estimate the prior probabilities of the identified risk factors influencing the occurrence of maritime accidents. The results show that the main influencing factors are the type and location of an accident and the type, speed, and age of the involved ship(s). In addition, scenario analysis is conducted to analyse the risks of different ships in various navigational environments. The findings can be used to analyse the probability of each possible maritime accident along MSR and to provide useful insights for shipowners’ accident prevention.     

Research trends and agenda on the Belt and Road (B&R) initiative with a focus on maritime transport

The ‘Silk Road Economic Belt and the 21st-Century Maritime Silk Road’ (collectively known as Belt and Road, B&R) has been initiated by the Chinese government in 2013. The B&R is increasingly becoming a focal point for socio-economic–political interests because of its likely impact on land and sea transport and maritime logistics. The aims of this study were threefold: first, to provide an overview on the B&R, focusing on its key structural elements, such as transport corridors, city clusters, dry ports, infrastructure, zoning, and area development; second, to identify the expected impacts of the B&R on trade and implications on structural changes in transportation systems, port networks, and international logistics. Finally, to discuss major research trends and setting up of research agenda which will contribute to enriching the existing literature and shaping the global trade operations and drive economic growth in the context of the B&R.     

Mitigative and adaptive investments for natural disasters and labor strikes in a seaport–dry port inland logistics network

ABSTRACT

Inland distribution is a crucial link between ocean shipping and terminal consumers. However, such a distribution system is vulnerable to disturbance caused by natural disasters and labor strikes. Pre-event investments, specifically mitigative and adaptive investments, could alleviate the adverse consequences of a disturbance to mitigate the possibility of event occurrence and reduce damage after event occurrence, respectively. This study investigates an inland distribution network that comprises one seaport and one major dry port. Moreover, this research discusses the two existing management models in the network, namely, centralized and decentralized systems. We analyze the optimal investment level when coping with natural disasters and labor strikes and compare the results under different cases. Results show that decentralization will increase the total expected cost, while cooperation is always beneficial in terms of pre-event investment. However, an appropriate cost-sharing plan is required to make the cooperation feasible for a seaport and dry port.