Promoting Development through Multimodal Freight Transport in Bangladesh

Abstract

Development emanating from international trade and investment in many least‐developed economies is impeded by inland freight transport systems that restrict multimodal transport. Increasing international trade may raise gross domestic product, generating increased demand for internal containerized cargo movements, but the requisite transport infrastructure is lacking. The paper explores impediments to developing effective multimodal transport and possible solutions in Bangladesh, which is an extreme case in point. It reports applications of Delphi techniques that explored local expert opinions regarding policies required to tackle such impediments. A panel of corporate executives perceived a changing inland transport system poorly suited to efficient origin‐to‐destination cargo movements in international supply chains. To promote further development, customs procedures must be streamlined and Bangladeshi shippers must adopt a door‐to‐door transport system.     

Transport bottlenecks and Tanzania's economic problems

Abstract

The paper discusses Tanzania's transport problems in the context of the prevailing acute economic crisis. It looks at the development of the transport system, especially the rail and road network, from the German days to the new Chinese‐built Tanzania‐Zambia Railway. The East‐West orientation of the major parallel rail lines and roads reflects the dependency of the economy on export‐import trade. A major challenge to the transport system is the haulage of agricultural products, mainly for export but also for the internal market, not to mention the haulage of imported commodities.

The provision and utilization of transport services is discussed in the context of the historical, and institutional setting of the road haulage industry, particularly its public and private sector configurations. Due to scarcity of foreign exchange, both sectors, especially the private, are starved of vehicles and spare parts.

The operation of ocean and lake shipping services and Air Tanzania are discussed. It is recommended that the latter should concentrate on essential domestic services plus some limited regional services. External financing of transport projects and its implications are also considered.

It is concluded that despite the break‐up of the East African transport system, the Tanzanian transport system, although shaky, has avoided major breakdowns and in some cases, especially in trade, has provided the foundation for at least medium‐term improvements. More attention is recommended to organizational problems of track use by freight and passenger carriers and to making the best use of existing facilities.     

Determinants of air cargo traffic in California

Studies on the economic impacts of air cargo traffic have been gaining traction in recent years. The slowed growth of air cargo traffic at California’s airports, however, has raised pressing questions about the determinants of air cargo traffic. Specifically, it would be useful to know how California’s air cargo traffic is affected by urban economic characteristics. Accordingly, this study estimates the socioeconomic determinants of air cargo traffic across cities in California. We construct a 7-year panel (2003–2009) using quarterly employment, wage, population, and traffic data for metro areas in the state. Our results reveal that the concentrations of both service and manufacturing employment impact the volume of outbound air cargo. Total air cargo traffic is found to grow faster than population, while the corresponding domestic traffic grows less than proportionally to city size. Wages play a significant role in determining both total and domestic air cargo movement. We provide point estimates for traffic diversion between cities, showing that 80% of air cargo traffic is diverted away from a small city located within 100 miles of a large one. Using socioeconomic and demographic forecasts prepared for California’s Department of Transportation, we also forecast metro-level total and domestic air cargo tonnage for the years 2010–2040. Our forecasts for this period indicate that California’s total (domestic) air cargo traffic will increase at an average rate of 5.9% (4.4%) per year.     

Survey analysis of supply chain adjustment for Taiwanese information technology firms

Owing to the globalization of industry, the explosion in customer services and product life-cycle compression, most manufacturers have been adjusting the processes and activities of their supply chains to remain competitive and optimize total profit. The aim here was to explore the issues surrounding the changes in manufacturing supply chains and the consequential impact on freight transport demand. A questionnaire to survey Taiwanese information technology (IT) firms was designed and conducted to chart in detail the changes in supply chains of manufacturers, the trends in the international division of labour, and the strategic adjustment of manufacturing and logistics strategies. Surveys and interviews led to the conclusions that (1) vertical integration and international division of labour are very conspicuous among Taiwanese IT firms, (2) there are different strategies of supply chain adjustment at various stages of the product life-cycle, (3) with the transformation of the supply chain, manufacturers require faster transport services, i.e. the demand for air transport may increase and the demand for sea transport may decrease, and (4) once the firms decide on foreign investment, the availability of international transport services becomes one of the considerations for factory offshore relocation. However, transport cost is not a major consideration for firms' supply chain adjustments.     

Impacts of combining partial and general equilibrium modelling in freight transport analyses – a forest sector case study from Norway

Abstract

The forest sector in Norway is very transport intensive, accounting for approximately 14% of total domestic freight transport traffic on Norwegian roads. This paper presents an analysis linking a general equilibrium freight transport modelling tool with a partial equilibrium model of the forest sector. The freight transport model predicts transport costs, modal split and transport patterns, and the results are treated as inputs to the forest sector model. The objective of the paper is to analyse the modelling effect of taking forest sector model effects back into the freight transport model and treated as new demand. Compared to a base scenario for the year 2020, we compare analyses with and without this new demand from the forest sector model back into the freight transport modelling tool.     

Decoupling of Road Freight Transport and Economic Growth Trends in the UK: An Exploratory Analysis

Abstract

Between 1997 and 2004, gross domestic product increased in real terms in the UK by one‐fifth, while the volume of road freight movement remained stable. This suggests that the long‐awaited decoupling of economic and freight transport growth has begun, possibly leading to a new era of sustainable logistics. This paper reviews previous research on the decoupling issue and recent trends in gross domestic product/freight tonne‐km elasticities in Europe and the USA. It then examines 12 possible causes of the observed decoupling in the UK using published statistics from a wide range of British and European sources. This analysis indicates that around two‐thirds of the decoupling is due to three factors whose impact can be quantified: the increased penetration of the British road haulage market by foreign operators, a decline in road transport’s share of the freight market, and real increases in road freight rates. Several other factors, most notably the relative growth of the service sector, the diminishing rate of centralization, and the off‐shoring of manufacturing, appear to be having a significant effect, though this finding cannot be measured on the basis of available statistics. The paper concludes that, while the decoupling is in the right direction from a public policy standpoint, the net environmental benefits are likely to be quite modest.     

Environmental protection, economic efficiency and intermodal competition in freight transport

The awareness of the consequences of a further rise in transport for the environment has not only been a matter of concern for scientific researchers but also for planners and policymakers. In fact, the environment is now an ever present factor in the new political agenda and issues of excessive traffic congestion and global atmospheric pollution are increasingly attracting administrators' attention. One of the most important scenarios proposed for the protection of the environment, taking into account the adverse effects of traffic, is the redistribution of freight transport demand. In this paper the Italian situation has been tested, evidencing productive sectors and regions really benefiting from a more effective redistribution of trade flows among existing links on the freight network. This pattern is estimated by evaluating substitution elasticities before and after the introduction of a pollution tax. Numerical simulations, in terms of reduction of pollution emissions and transportation costs, are also provided.     

The integration of Taiwanese and Chinese air networks for direct air cargo services

The two sides of the Taiwan Strait perform mutually dependent but complementary activities in the global manufacturing supply-chain. As a result, trade between Taiwan and China grew in double digits annually in the 1990s. With growing economic ties, direct air links are inevitable. In this research, we analyzed government documents and interviewed the air cargo carriers and airlines that currently serve the Taiwan–China air cargo market. This information enabled us to tabulate the trade, estimate the airport-to-airport air cargo demand and calibrate the international and domestic freight tariffs. We used a connectivity measurement and classified Chinese airports into national, regional and local classes in a hub-and-spoke air cargo network. We developed a mathematical model and a branch-and-bound algorithm. The results showed that at least two transit airports are economically necessary for a Taiwan–China air link. Shanghai and Xiamen were always the top two transit airports. The third airport would be Changsha if the decision becomes three air-links. These links are different from the top three passenger transit airports, Fuzhou, Xiamen and Shanghai, even though the cost saving is moderate.     

Migration of railway freight transport from command economy to market economy: The case of China

In recent years, Chinese railway freight transport has been facing great challenges from transport market reformation and economic expansion. Although the total volume of railway freight has been increasing, its market share has decreased greatly, especially at the beginning of migration from command economy to market economy. This paper considers four aspects believed to be responsible for the loss of the railway freight market share. First, we review the history and current situation of the Chinese railway freight transport and study the relationship between economic development and freight transport in China. Second, the causes resulting in the loss of the market share of railway freight are analysed in detail. Third, the current measures taken by Chinese Railways (CR) to restore its competitiveness are discussed. The effects of these measures on railway traffic volume, market share and productivity are also studied. Finally, the way forward for the future of CR is discussed. It is concluded that CR has not yet adapted sufficiently to new economic conditions, although in recent years progress has been made. Further reform will be needed.     

Empirical estimation of price and income elasticities of air cargo demand: The case of Hong Kong

This paper estimates the price and income elasticities of air cargo demand and examines how they may change after the 2008 financial crisis. Using a set of time series data, we simultaneously estimate the aggregated demand and supply functions of air cargo at Hong Kong International Airport (HKIA). We find that during the entire sampling period of 2001–2013, the price elasticity for air cargo transport demand at HKIA ranges from −0.74 to −0.29, suggesting that air cargo demand in Hong Kong reacts negatively to price (as expected) but does not appear to be very sensitive to price. The income elasticity ranges from 0.29 to 1.47 and appears sensitive to seasonality adjustment approaches. However, in terms of the speed of changes, air cargo demand changes much faster than overall economy, indicating the presence of a pro-cyclical pattern of air cargo traffic with respect to the overall economy. Our analysis shows that air cargo demand becomes more sensitive to changes in both price and income after 2008.     

Environmental and transport effects of warehouse relocationing: evidence from Norway

Reducing traffic volumes and CO2-emissions from freight transport has proven difficult in many countries. Although the increasing suburbanization of warehouses is seen as a relevant land use trend, comprehensive analyses of their impact remain scarce. This study uses real data in modeling transport, costs, environmental and modal effects from warehouse relocations around Oslo and Trondheim (Norway). Results indicate that for Oslo, traffic performance (ton-km), CO2-emissions, and transport costs increase following warehouse suburbanization. For Trondheim, transport performance and CO2-emissions increase less, while transport costs decrease marginally. We conclude that specific case characteristics (geography and trade patterns) are important in determining the strength and direction of effects, and expect that common concomitant developments (warehouse centralization and consolidation) would lead to more pronounced results. Our findings confirm some, but challenge other, findings from the relatively scarcely literature available. Finally, the study's more general insights and observations can help advance similar analyses beyond Norway.     

Assessing the effect of urban socioeconomic factors and the financial crisis of 2008 on domestic air cargo traffic in Florida

In this paper, we investigate the relationship between the social and economic attributes of metropolitan areas and their corresponding domestic cargo traffic. We considered a period of 14 years (2003–2016) and studied the impact of population demographics, employment, and regional industries on domestic cargo traffic of a sampled set of metropolitan areas in Florida. We considered all-cargo carriers and mixed passenger–cargo carriers. Our results provide empirical insights into factors determining the air cargo traffic in Florida. Both population and age demographics of a region is shown to be influential on cargo traffic. Manufacturing industries are shown to prefer all-cargo carriers to mixed passenger–cargo carriers and their concentration in a metro area results in an increase of cargo traffic. In contrast, service industries generate low demand for air cargo. Our results show that larger airports tend to attract cargo traffic away from smaller airports in their close proximity. We also provide insights into the impact of the financial crisis of 2008 on domestic cargo traffic in the region. We study the recovery trend and the impact of the high fuel jet prices on slowing down this trend.

     

The Benefits for Rail Freight Customers of Vertical Separation and Open Access

Abstract

This paper reviews and analyses the benefits for rail freight customers of the two principal models for introducing competition in main line railway networks: (1) the vertical separation of infrastructure from operations; and (2) the introduction of competition providing other operators with open access to the network. The paper shows that traffic growth has generally been higher in those European countries that have liberalized most. It then examines in detail the impact of restructuring in Great Britain in terms of the competition, freight rates and traffic growth. The paper concludes that vertical separation benefits freight customers more than just open access.     

Forecasting Freight Flows

Trade patterns and transport markets are changing as a result of the growth and globalization of international trade, and forecasting future freight flow has to rely on trade forecasts. Forecasting freight flows is critical for matching infrastructure supply to demand and for assessing investment. This article models long-term dynamic physical trade flows and estimates a dynamic panel data model for foreign trade for the EU15 and two countries from the EFTA (European Free Trade Association) 1967–2002. The analysis suggests that a dynamic three-way-effects gravity equation is the best-fitted econometric model. The analysis uses a structural relationship to explain the structure of the exchange of the goods—a relationship that can be used in the year of forecast. This article also provides a new methodology for converting monetary aggregates into quantity aggregates. The resulting commodity growth rates constitute a valuable input to freight models for forecasting future capacity problems.     

Comparison of road freight transport trends in Europe. Coupling and decoupling factors from an Input–Output structural decomposition analysis

Decoupling road freight transport from economic growth has been acknowledged by the European Union as a key means to improving sustainability. It is therefore important to identify both the coupling and decoupling drivers of road freight transport demand in order to determine possible factors that may contribute to reduce road transport in the future without curbing economic development. This research proposes an Input–Output (IO) structural decomposition analysis (SDA) to explain road freight transport in terms of a set of key factors that have strongly influenced road freight demand in recent decades in European countries—such as economic growth, economic structure and the evolution of road transport intensity (including improvements in both supply and transport systems). This methodological approach allows us to quantify and compare their contribution in different European countries to either increase or decrease road freight transport demand. The empirical basis for this analysis is a dataset of nine European countries which have IO tables and road transport data available from 2000 to 2007, comprising data on domestic production, imports and exports as well as tonne-kms for 11 types of commodity classes. The results show that, as a whole, aggregate road transport demand has grown—driven mainly by economic activity—but this growth has been strongly curbed in some countries by changes in road freight transport intensity and moderately by the dematerialization of the economy. International transport has been also proven to be a key factor driving road freight transport volumes. Moreover, the increased penetration of foreign operators in national haulage markets appears to have reinforced the final decoupling levels observed in some cases.     

A Stated preference freight mode choice model

Transport policy aims to assist the transport system to work more efficiently and effectively. An understanding of the reasons why people choose to move freight in a certain manner is critical to the development of appropriate policies. This article outlines a data collection approach and the development of a disaggregate mode choice model applicable to the analysis of freight shipper decision making. It focuses on the choice between rail and road in Java, Indonesia. The model indicates that safety, reliability and responsiveness are major attributes influencing rail/road freight mode choice. Transport policies aimed at improving these dimensions should increase the attractiveness of rail transport.     

Calculation of external costs for freight transport

Abstract

The negative impacts of transport are in general associated with costs. These costs are usually denoted as ‘external costs’ or ‘externalities’. This paper presents a tool for calculating external costs for freight transport together with its application to a number of case studies. The categories considered include: air pollution, greenhouse gases, noise, accidents and congestion. Results are presented for a number of different transport alternatives as total costs and divided into categories. The uncertainties in the results are discussed. The assessment of these costs is essential for predicting future transport costs.     

Determinants of modal choice in freight transport

In the next few years, exciting developments in the field of freight transport are likely to occur. The Channel Tunnel will be perceived as giving railways much greater distance of operation, compared to the current train ferry to/from Great Britain. The further development of swap-body technology will allow easier modal transfer and the creation, in 1992, of a single market in Europe will transform the pattern of trade. All of these are likely to have significant impacts on modal choice, and hence modal split, in freight transport. Reappraisal by many firms of the modes of transport used is likely but will it result in a net transfer of freight from road to rail and, if so, to what extent? To answer such questions, an accurate and reliable method of predicting modal split is required. Research in the past has concentrated on the development of modal split models based on generalised costs. These fail to explain adequately the prevalence of road freight in the UK. From surveys of freight managers within industry, it is clear that models to date rely too heavily on the economic cost factor and too little on behavioural factors (Jeffs 1985). This paper derives from a recent study of freight transport modal choice from the standpoint of the transport decision-maker within the firm. It attempts to shed light on the actual parameters which should be incorporated into a modal split model. Many variables appear to exert an influence on modal choice decision-making process. However, it is possible to categorise them into six main groups, namely: customer-requirements; product-characteristics; company structure/organisation; government interventions; available transport facilities; and perceptions of the decision-maker him/herself. It is the interactions and inter-relationships between these which ultimately determine freight modal split. This study has shown that the relationship between the outcome of the transport decision process and the values of particular determinants of modal split is not straight-forward, due to the complexity and variety of interactions involved. Perhaps one of the main reasons for researchers' failure hitherto to develop a successful modal-split model has been the preoccupation with techniques that rely on the development of common metric (e.g. generalised cost), which has led to the exclusion of some important explanatory variables along quite different dimensions. Another important issue concerns the appropriate level of aggregation. In order not to reduce the explanatory power of the key variables, it is important to work at a disaggregate level, although this does make substantial demands on data. The use of factor analysis enables both the aggregation of information without loss of behavioural reality and the specification of variables in terms of a common metric. In conclusion, freight transport has usually been examined within too narrow a framework. It must be placed firmly within the context of the total industrial process. The demand for freight transport is directly influenced by the level, composition and geographical distribution of production and consumption activities. Freight flows are complex and so it is highly unlikely that a universal mode-choice model can ever be developed. Future research should, therefore, be directed towards developing partial models in response to specific needs of those involved in decision-taking in the freight sector.     

Exchange rate and transport cost sensitivities of bilateral freight flows between the US and China

This paper explores the long-run impacts of gross domestic product, exchange rate, and transport costs on bilateral air and ocean freight flows between the US and China. The study employs a cointegration framework by using export and import data over the period of 2003:Q1-2014:Q2. Results show that gross domestic product is the key determinant of bilateral freight flows, indicating that real income of a trading partner is a driving force of the bilateral freight flows between the US and China. In examining the sensitivities of the bilateral trade flows, air freight flows are found to be more responsive to a real income change than ocean freight flows. The bilateral exchange rate is a significant factor affecting the freight flows from China to the US, suggesting that a US dollar appreciation against the Chinese yuan increases the inflows of Chinese commodities to the US. The impacts of the bilateral exchange rate and transport cost are found to vary at industry and commodity levels. These findings support the importance of employing disaggregate data in the bilateral freight flow analysis.