Going West? Spatial polarization of the North Korean port system

This paper analyzes North Korean ports in light of existing models of port system evolution. It reviews the economic and political factors shaping port concentration in developed, developing, and socialist countries. A database on vessel movements allows for the analysis of individual North Korean port traffic by total capacity circulated, cargo type, fleet nationality, immediate origin and destination, and berthing time. While ideological factors and military control hamper port modernization and trade openness, traffic concentration at the Pyongyang–Nampo gateway highlights the spatial polarization in the capital region at the expense of Eastern ports for which inland transport limitations and industrial decline have become major issues. The North Korean case only partly fits general models because traffic concentration occurs due to geopolitical isolation and internal limitations rather than economic and trade growth.     

Regional integration and maritime connectivity across the Maghreb seaport system

Models and empirical studies of port system evolution dominantly focus on land-based dynamics. Hence, it is traditionally recognized that such dynamics condition the evolution of ports and their relations as well as wider regional integration processes. The Maghreb region (Algeria, Morocco, and Tunisia), which is currently responsible for no less than one-third of all African port throughputs, offers a fertile ground to test the possibility for regional integration to occur through maritime linkages despite limited trade integration and land-based transport connectivity. Main results highlight the increase of trans-Maghreb maritime connectivity but this occurs mostly at the periphery of the system based on transit flows. Logistical integration versus trade integration is discussed in light of the recent evolution of Maghreb ports and of the region in general.     

A strategic model of port-hinterland freight distribution networks

This paper presents a strategic model for port-hinterland freight distribution networks. The approach utilizes a combination of a multi-objective optimization model to estimate locations and networks of distribution centers and an assignment model that recognizes distributed service level preferences. Our example application concerns the European continent and is transferable to other regions. The model calibration is able to explain the European port-hinterland distribution structures satisfactorily. We compute novel performance measures that take into account port-hinterland distribution structures. The measures include port-hinterland transport cost, port-hinterland transport time, and distribution center-hinterland transport time. These measures can provide inputs for port-connectivity studies.     

Using time-varying tolls to optimize truck arrivals at ports

An analytical point-wise stationary approximation model is proposed to analyze time-dependent truck queuing processes with stochastic service time distributions at gates and yards of a port terminal. A convex nonlinear programming model is developed which minimizes the total truck turn time and discomfort due to shifted arrival times. A two-phase optimization approach is used to first compute a system-optimal truck arrival pattern, and then find a desirable pattern of time-varying tolls that leads to the optimal arrival pattern. Numerical experiments are conducted to test the computational efficiency and accuracy of the proposed optimization models.     

Port traffic risks – A study of accidents in Hong Kong waters

This paper investigates port traffic risk issues by discussing historic accidents in Hong Kong port. A total of 2012 marine accidents with 94 deaths were reported in Hong Kong waters in year 2001–2005, while 660,427 oceanic ships visited the port. A negative binomial regression model is used to analyze the record of dataset. It is found that port traffic risks are of certain pattern and collision accidents are the most popular incidents when port traffic is heavy. Passenger-type vessels have higher potential for injuries during accidents. The findings have identified statistically significant factors for improvements in managing port traffic risks.     

Delimiting port hinterlands based on intermodal network flows: Model and algorithm

This study aims to propose a tangible approach to delimiting the probabilistic hinterland of a port of interest. We first build a geometric model for the probabilistic port hinterland based on intermodal network flows jointly using discrete choice analysis and geographical information of shippers. We further design an algorithm that can efficiently determine the hinterland boundaries using the sample approximation of shippers’ choice probabilities. We provide theoretical results that characterize the minimum computational effort required to achieve a certain degree of accuracy in the sample approximation. We also offer two numerical case studies to justify the proposed approach.     

区域通道内城际旅客运输方式合理分工问题研究

建立区域综合运输通道内的城际旅客运输方式分担率模型,预测城际间的各公共运输方式分担率。运用博弈论理论分析区域综合运输通道内高速铁路动车组和高速公路大巴间、高速铁路动车组和私人小汽车间的竞争合作关系,为铁路运输企业制定合理策略提供依据。以成渝综合运输通道内的成渝城际旅客运输为例,通过研究各种运输方式合理分工问题,选择合理策略,以满足旅客需求和提高自身利润。     

Competition in railway monopolies

The transformation of railways from monopolies to markets open for internal competition is described and explained in a theoretical framework, and a model for the evaluation of the transformation’s impact on efficiency is developed. Using the model in an empirical study of the Swedish railway sector, it is found that external competitive pressure is strong in most supply segments and, focusing on loss of scale advantages, that the transformation will result in significant costs. Comparing the potential for gains by competition against the costs, it is concluded that increased efficiency by internal competition only seems possible to achieve for two train products: domestic combined transport and dedicated trains (both freight services).