Measuring the quality of port hinterland accessibility: The Ligurian case

Traditionally, distance was considered the parameter that could better reflect the economic influence of a seaport on land. Containerisation and intermodality progressively eroded such a paradigm and currently distance became only one of the factors across the overall “equation”. In this respect, a fundamental role is played by the effectiveness of inland connections. The better the connection of a port to the various inland markets, the bigger the potential to enlarge its overall captive area. Furthermore, the higher the “frictions” (bottlenecks, delays, etc.) for reaching the hinterland, the lower the inland traffic flows.The major purpose of the paper is to measure container traffic diversion from Ligurian ports (Genoa, La Spezia and Savona) to the main Italian and European competitors.The application of a gravity model will reveal the current role of distance in drawing hinterland market share among the selected ports. Moreover, for evaluating the unexploited potentialities of Ligurian ports, we compared real traffic flows with the outcomes of a spatial interaction model, reassigning inland container flows to the different sampled ports. The calculation of the traffic delta through a gap analysis, allowed measuring the “frictions” thwarting the connectivity between the Ligurian ports and the sampled hinterland regions. Finally, the paper discusses the nature and the reasons for the above traffic diversion.     

The dry port concept: connecting container seaports with the hinterland

The dry port concept is based on a seaport directly connected by rail with inland intermodal terminals where containers can be dealt with in the same way as if they were in a seaport. The main purpose of the article is to extend the theory behind the dry port concept and to define three dry port categories; distant, midrange and close. The findings show that the dry port concept can help identify ways of shifting freight volumes from road to more energy efficient traffic modes that are less harmful to the environment, relieve seaport cities from some congestion and facilitate improved logistics solutions for shippers in the port’s hinterland.     

Searching for policy priorities in the formulation of a freight transport strategy: a canonical correlation analysis of freight industry attitudes

An efficient and effective freight transport strategy can be aided by early professional contributions from key stakeholders. One broad group who have historically been given limited opportunity to influence the drafting of a freight strategy, are commercial road users and shippers who manufacture and distribute goods. Utilising a data set collected in Australia in 1996 from a sample of organisations involved directly and indirectly in road freight transportation, views were sought on road infrastructure changes, new road infrastructure, non-road infrastructure needs and transport policies. An optimal scaling approach using non-linear canonical correlation is implemented to search for structural relationships between the underlying policy and infrastructure dimensions and the various industry categories. This framework provides a powerful mechanism for identifying differences among stakeholders in terms of their support for or opposition to specific policies. Results reveal the considerable differences in attitudes associated with the component parts of the freight industry.     

北部湾港后方铁路货运通道研究初探

分析区域铁路运输总体情况,总结区域铁路运输通道和港区铁路存在的主要问题,解读区域现有铁路规划、北部湾经济区发展规划、各城市总体规划和北部湾港总体规划,在对北部湾港后方铁路货运通道研究的紧迫性和必要性认识的基础上,提出北部湾港后方铁路货运通道研究思路和亟待深入研究的关键问题,给出相关建议和措施。     

European intermodal freight transport network: Market structure analysis

The analysis of market structure and concentration measures for the Intermodal Freight Transport (IFT) market is important to avoid market failure and to find the areas for policy making to promote IFT market share. This analysis can be performed for separate segments, for example, the market for transshipment service or the market for main-haulage service. However, due to the multistage characteristic of IFT service, the segmental analysis gives an incomplete view of the IFT market at the network level. In a previous paper (Saeedi et al., 2017), we present the Intermodal Freight Transport Market Structure (IFTMS) model to conduct a network-based study of the IFTMS in which distinctive actors (i.e., pre/post haulage operators, terminals, rail/barge operators, transport chains, and corridors) are competing at different levels inside distinctive markets to deliver an integrated IFT service. There are two main challenges in the application of IFTMS model in real cases, for example, the European IFT network. First, the definition of the geographical and spatial border of the transshipment market areas is needed to determine which actors are potentially competing for a specific service demand. The second challenge is the lack of disaggregated data and the consistency of existing data in nodes (i.e., the transshipment areas) and links (i.e., the rail and barge operators). To cope with these challenges, we develop a four-step methodology in which a model-based approach is used to define the geographic boundaries of the transshipment submarkets and provide detailed and consistent data for market analysis. We also apply the IFTMS model to study the market structure of European intermodal network. Our analysis shows that the majority of transshipment markets as well as main-haulage markets are highly concentrated markets. The corridor markets – which include the IFT chains – are unconcentrated markets. Furthermore, the majority of corridors in the European Union are inside highly concentrated origin-destination markets.     

Investigating the impact of demand amplification on freight transport

Despite freight transport operations being influenced by supply chain dynamics, there has been only a very limited investigation into the impact of demand amplification on this function, with almost no analytical research. This paper aims, through spreadsheet simulation of a generic production control system, to quantify the impact of demand amplification on transport performance. Performance measures evaluated include both transport cost and efficiency. The results in general find a negative relationship between transport performance and demand amplification. It is also found that the ratio of vehicle capacity to average demand affects these results.     

Comparing maritime containers and semi-trailers in the context of hinterland transport by rail

The purpose of this article is to investigate why rail is used to move semi-trailers to and from seaports to lesser extent than it is used to move maritime containers, and which actions can foster an increase of semi-trailer transport by rail. The two types of load units are obviously used in quite different logistics settings. The two transport segments are compared in terms of the transport markets they serve, the competition they face and the operational and technological principles upon which they operate.The empirical setting is the transport of general cargo in load units between Scandinavia, Continental Europe and the UK, although the container segment is analysed as an element of deep-sea liner shipping. Empirical findings are drawn from the case of the Port of Gothenburg and its Scandinavian hinterland. Sustained double-digit annual growth has led to a situation where most of the potential market for the hinterland transport of maritime containers has already been realised. The challenge for further growth is now to capture the semi-trailer segment.Not surprisingly, this analysis shows that rail is more competitive for the hinterland transport of containers than of semi-trailers, but there are still significant opportunities for reaping the benefits of rail transport of semi-trailer transport in the hinterlands of European ports. An increased integration of rail transport and Roll-on/Roll-off shipping will not only require, but also encourage, changes in the overall system design as well as its competitiveness compared to all-road and all-rail services.     

On structural inelasticity of modal substitution in freight transport

At the European level there is an increasing focus on how freight transport can be moved from trucks on roads to more environmentally friendly modes such as rail and ship. A large proportion of the transport services between OD pairs, however, cannot be substituted since there is only one alternative available. The paper investigates the magnitude of this “structural inelasticity” of modal substitution in freight transport due to a sparser layout of rail and ship-based freight networks compared to road. In the analysis we use a recent Scandinavian freight demand model covering more than 800 zones. We find that the structural inelasticity is very significant - in particular for transportation over less than 500 km. Moreover, the inelasticity varies greatly with commodity groups and between OD pairs, and it depends strongly on the port and rail infrastructure. The results suggest that pure charging instruments (road pricing for trucks) in many regions will have limited mode substitution impacts. However, if combined with structural changes in terms of improved infrastructure for rail and ship, impacts may be greater.     

Monetary values of freight transport quality attributes: A sample of Tanzanian firms

This paper presents the findings of a stated preference research conducted in Tanzania (East Africa). The objective of the survey was to determine the relative importance as well as monetary values attached to freight transport quality attribute by shippers in this region. In-depth interviews with the logistic managers of companies that produce and ship goods were conducted. The freight transport quality attributes considered in this survey were flexibility, frequency, loss and damage, reliability, and transit time. The monetary values of these attributes have been computed as willingness to pay for their improvement as well as willingness to accept compensation for a decrease in their quality. The results show that shippers in this region consider travel time, loss and damage and frequency as the most important quality attributes. This may have relevant implications for the infrastructural transport policies to be implemented in the country.     

国外铁路重载运输对我国铁路货运发展的启示

铁路重载运输是铁路货运发展的方向,国外铁路重载运输经验可供我国铁路货运发展借鉴.介绍美国、澳大利亚等铁路重载运输国家铁路货运的现状和主要技术特点,结合国外铁路重载运输发展经验,对我国铁路货运的发展提出建议.     

加快铁路货运专线建设推动集装箱中心站和港口一体化

论述修建上海至西安和深圳至昆明两条集装箱货运专线的必要性、效益及建设模式、运营前景,认为推动铁路货运专线、集装箱中心和港口一体化运作,可以从根本上改善物流效率。     

The impact of foldable containers on container fleet management costs in hinterland transport

This paper analyzes the possibility to save container fleet management costs in repositioning empty containers through the use of foldable containers. We model this entire empty container flow as an integer programming problem with different strategies in empty container flow itinerary. The model is used to carry out numerical experiments that optimize the empty container repositioning in the hinterland, where there are serious empty container repositioning problems caused by extremely imbalanced trades. The study finds that foldable containers can substantially save on repositioning costs compared to the use of standard containers.     

An agent based model concept for assessing modal share in inter-regional freight transport markets

This paper introduces an Agent based modelling approach to model inter-urban freight transport between two or more trading regions. The use of the model is to ascertain the modal share of competing transport modes (road and intermodal) while taking complex transport service supply–demand dynamics into account. It is structured by modules describing company generation, supplier choice, modal competition and International road freight transport market dynamics. The behaviour of individual actors is simulated using normative agent behaviour and market knowledge. Using the micro-simulation approach, shippers and carriers (primarily road hauliers and a maritime based intermodal operator) interact through simulated contracts resulting in the generation of tours. The service performance of the tours is fed back into the model for decision making during contract deliberations. Preliminary application of model to Mediterranean case study show that market share gains of around 25–30% are obtained with policy interventions of financial subsidies to intermodal services and more frequent shipping services in the intermodal transport respectively.     

A freight transport optimization model for integrated network,service, and policy design

This paper presents a freight transport optimization model that simultaneously incorporates multimodal infrastructure, hub-based service network structures, and the various design objectives of multiple actors. The model has been calibrated and validated using real-life data from the case study of hinterland container transport of the Netherlands, where CO₂ pricing, terminal network configuration, and hub-service networks are chosen as the design measures. Policy packages combining multiple types of policies show better network performance as compared with the optimal performance resulting from a single policy type. This illustrates the value of incorporating multiple types of policies simultaneously in freight transport optimization.     

The relative importance of factors that influence the break-even distance of intermodal freight transport systems

The break-even distance of an intermodal freight system is a crucial piece of information for shippers as they decide whether to choose a specific freight transport system. It is also important for policy makers who want to demonstrate to shippers that the intermodal system is substantially more beneficial over a certain distance and encourage shippers to use it. However, the break-even distance is highly dependent on market situations. In other words, it is not possible to estimate the definitive break-even distance that is generally applicable. To date, the literature has addressed factors, including costs and distances, that impact the break-even distance without considering the relative importance of each of these factors. This study attempts to address this gap in knowledge by evaluating the relative importance of geometric and cost factors. The former includes drayage distances (i.e., pre- and post-haulage by trucks), truck-only distance, rail distance, the shape of the market area, and the terminal location, while the latter includes the drayage truck rate, the long-distance truck rate, the rail rate, and the terminal handling rate. Finally, by developing a Monte Carlo-based simulation model, the relative importance can be evaluated. The key finding is that the geometric factors and terminal handling costs are not more significant than the transport costs (i.e., rail costs and long-distance trucking costs) in general. Specifically, to shorten the break-even distance, either reducing the rail rate or increasing the truck rate is the most effective strategy. A 1% change in these factors is almost seven times, three times, and twice as effective as a 1% change in the handling costs at terminals, rail distance, and drayage cost, respectively. Furthermore, neither the oval-shaped market area nor a terminal relocation attracts customers to intermodal systems in general. When two options are combined, the synergic effect is significant.     

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.     

Network analysis of container barge transport in the port of Antwerp by means of simulation

Inland navigation plays an important role in the hinterland access of the port of Antwerp. In this paper alternative bundling strategies for container barge transport in the port of Antwerp are analyzed. Four alternative hub scenarios are simulated and compared with the current situation with respect to the operational characteristics of the network. Discrete event simulation is used to analyze the impact on waiting times and capacity utilization at potential hubs and at sea terminals. The hub scenarios under investigation are the organization of an intermodal barge hub on the right river bank, an intermodal hub on the left river bank, a first multihub scenario with a local collection/distribution network and a potentially improved multihub scenario taking into account the specific structure of the port of Antwerp. The second multihub scenario offers most opportunities for reducing the turnaround time of all inland terminals. All hub scenarios lead to important efficiency improvements in the handling of barges at sea terminals.     

Building a bridge between port and city: Improving the urban competitiveness of port cities

Historically, ports have been an important location factor for cities, enabling international trade and investment and facilitating urbanization processes. However, the traditionally strong relationship between ports and port cities has gradually weakened due to the emerging negative externalities of ports. Therefore, port-city municipalities need to better understand the relationship between port activities, urban competitiveness, and the attraction of investment. This paper uses the Quadratic Assignment Procedure (QAP) and related regression models to test this relationship as well as identify the determinants of urban competitiveness. The results show that despite the positive relationship between port and urban networks, port cities currently exhibit no significant advantages over non-port cities in attracting Foreign Direct Investment (FDI); in addition, port-city competitiveness depends more on urban characteristics than on port factors. Based on these results, we propose various strategies for port-city developments.     

Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model

This paper presents empirical estimates of market elasticities of demand and elasticities of mode choice probabilities in the intercity freight transport market. Results are derived from a mixed discrete/continuous choice model of mode and shipment size. The mode choice component of the full model was specified as a binary probit function. The two modes considered were rail and regulated common carriers (full truck load). Data was drawn from the US Commodity Transportation Survey consisting of individual shipments of manufactured goods identified at the most disaggregate level. Results obtained in this study are compared with those obtained in previous studies, and areas of similarities and dissimilarities in the magnitude as well as interpretation of the results are highlighted. The own-price and cross-price elasticities of mode choice probabilities were found to vary from 1.44 to 1.88, and from 1.54 to 1.75, respectively. The market price elasticities of demand were found to vary significantly across commodity groups and geographic territories. Among the 40 market segments considered, the truck price elasticity of demand ranged between −0.749 and −2.525; the rail price elasticity of demand was slightly larger, ranging between −0.956 and −2.489; and the rail–truck cross-price elasticity of demand ranged between 0.904 and 2.532.     

Optimizing the aerodynamic efficiency of intermodal freight trains

We develop an aerodynamic loading assignment model for intermodal freight trains based on an integer-programming framework to help terminal managers make up more fuel-efficient trains. This is the first use of optimization modeling to address the aerodynamics and energy efficiency of railroad intermodal trains. Several recommendations regarding railway equipment use, operations, and policy are proposed to improve fuel-efficiency and reduce emissions from intermodal transportation. Analysis of one major railroad intermodal route reveals the potential to reduce fuel consumption by 15 million gallons per year with corresponding savings of $28,000,000. Greater benefits are possible through broader implementation of the model.