Dynamic volatility spillovers across shipping freight markets

This paper examines the existence of dynamic volatility spillovers within and between the dry-bulk and tanker freight markets by employing the multivariate DCC-GARCH model and the volatility spillover index developed by Diebold and Yilmaz (2012, 2009). This methodology is invariant to ordering the variables when estimating a VAR model and allows for the disaggregation of volatility spillovers in total, directional, net and net pairwise. Results reveal the existence of large time-varying volatility spillovers across shipping freight markets, which are more intense during and after the global financial crisis.     

Inventory control for returnable transport items in a closed-loop supply chain

An inventory control model for returnable transport items (RTI) where the manager selects the optimal length for inspection, repair, and purchase cycles is described. Repaired and newly obtained RTI are used in combination to satisfy current production requirements. Uncertain returns are incorporated into the model by determining a satisfactory safety stock level to buffer the inventory of used and repairable containers. The minimum cost solution is obtained when inspection and repair runs begin simultaneously. Cycle times are a function of the expected return rate and repairable percentage, while variability in these random assumptions affects the required safety stock.     

Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes

In this paper we use discrete choice data to analyze asymmetries in the preference for freight transport attributes. A reference dependent utility specification allowed us to test for the existence of substantial asymmetries in perception of the transport cost. Hence, the re-estimation of our models in the WTP/WTA space helped us to quantify significant discrepancies between the WTP and WTA for the attributes included in the choice experiment, namely transit time, service frequency and delays in delivery time. Results are deemed essential to define alternative services to road capable to attract substantial volumes of freight.     

Global intermodal liner shipping network design

This paper presents a holistic analysis for the network design problem of the intermodal liner shipping system. Existing methods for liner shipping network design mainly deal with port-to-port demand. However, most of the demand has inland origins and/or destinations. Thus, it is necessary to cope with inland origin–destination (OD) pairs involving a change in transport mode from inland transportation to maritime shipping. A method is first proposed to convert inland OD demand to port-to-port demand. Then, a framework for global intermodal liner shipping network design is proposed. Finally, the proposed methodology is applied to and numerically verified by a large-scale network example.     

Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru,Malaysia

The worldwide increase in private car dependency poses a set of significant environmental, economic and social sustainability challenges that continue to undermine the urban quality of life. Rapid motorisation, particularly in South East Asia (SEA), has emerged as a global concern given the region’s cumulative population, rate of industrialisation, and large-scale urbanisation. Thus, there is a compelling need to enhance our understanding of the underlying dynamics of how people perceive and use transportation such that transport planning is better placed to address the current, unsustainable travel patterns in SEA. Despite this need, there has been relatively limited SEA-based research that has endeavoured to examine travel perceptions and transport mode choice from a non-instrumental perspective. This research redresses this deficit by investigating the relationship between transport users’ perceptions and travel behaviours within SEA, with a particular focus on psychosocial drivers of transport mode choice interfaced with more traditional instrumental measures.Spatially stratified survey data have been collected in a case study area, Johor Bahru, Malaysia, comprising users from different transport user groups. Employing regression modelling, drivers of individual’s travel behaviour are examined. Results highlight the merit in recognising the role of non-instrumental motives alongside instrumental motives to explain transport mode choice. We conclude by highlighting that transport mode choices are motivated by a range of locational, socio-demographic, psychological and cultural determinants. The current research has contributed to a better understanding of transport mode choice in Johor Bahru and provides a foundation for future SEA-based travel behaviour research. Studies in this area can inform more sustainable travel behaviour in the SEA region.     

The impact of market opening on the supply of interregional train services

A stepwise deregulation of all interregional passenger rail services in Sweden was legally completed in 2010. The incumbent operator (SJ) thereby lost the sole rights to commercial services. The most evident supply increase is the establishment of services in the low-cost niche, which rather complements than competes with the incumbent’s supply. Public Transport Authorities’ (PTAs) joint services have however resulted in strong competition on at least one main line.Despite a period of almost five years since deregulation, the potential effects of the market opening have not yet fully materialised. The business risk for commercial rail operators seems to be much greater than for other modes like air and long distance coach services. SJ have also during decades of deregulated intermodal and years of intramodal competition developed their products and skills and seem well prepared for competition.     

A conceptual business model framework applied to air transport

The adoption of business models in different sectors has been disseminated exponentially as a result of organizational strategies, allowing the identification and definition of paths to be followed, and enhancing capture and value creation for consumers and the enterprise. In the case of the air transport sector, specifically the airlines, the proposition of new business models can contribute to creating competitive advantage. This study develops a conceptual business model framework applied to air transport, which prioritizes key components identified in the literature for designing business models for airlines. With the exploration of different aspects of business models and the identification of the main models used by airlines, the results demonstrate the need for the adoption of new models in this sector.     

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.     

中国高速铁路路网规划研究

从国民经济、区域城镇一体化及可持续发展角度,论述发展高速铁路是中国经济社会又好又快发展的必然选择;在此基础上,介绍了中国高速铁路网规划战略目标、布局方案,并分析了中国发展高速铁路的环境条件。     

Estimating flow times for containerized imports from Asia to the United States through the Western rail network

Queuing models are introduced for estimating container dwell times at rail intermodal terminals and transit times through rail line-haul corridors. These models are statistically calibrated on industry data. The intent of these models is to estimate changes in container flow times stemming from changes in infrastructure, staffing levels at terminals, or import volumes passing through given infrastructure. Flow times estimated for individual line segments are aggregated to provide estimates of the total transit time from West Coast rail ramps to inland destination ramps for imports moving from Asia to the Continental United States in marine as well as domestic containers.